781 Spss Jobs - Page 8

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity The objective of our Digital Risk Consulting service is to support clients with the development, implementation, improvement, and modernization of their technology risk and compliance programs to address the constantly changing risk and technology landscape. Our solutions can be used by our clients to build confidence and trust with their customers, the overall market, and when required by regulation or contract. Your Key Responsibilities You will operate as a team leader for engagements to help our clients develop and strengthen their IT risk and compliance programs. You will work directly with clients to review their IT processes and controls, remediate and implement controls, onboard new tools and services into risk and compliance frameworks, and assist with the readiness and adherence for new compliance regulations. Your responsibilities include both in-person and remote oversight and coaching of engagement team members, reporting to both senior engagement team members and client leadership, as well as partnering with our key client contacts to complete the engagement work. What You'll Do Designing and implementing solutions to various data related technical/compliance challenges such as DevSecOps, data strategy, data governance, data risks & relevant controls, data testing, data architecture, data platforms, data solution implementation, data quality and data security to manage and mitigate risk. Leveraging data analytics tools/software to build robust and scalable solutions through data analysis and data visualizations using SQL, Python and visualization tools Design and implement comprehensive data analytics strategies to support business decision-making. Collect, clean, and interpret large datasets from multiple sources, ensuring completeness, accuracy and integrity of data. Integrating and/or piloting next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) Developing custom scripts and algorithms to automate data processing and analysis to generate insights Applying business / domain knowledge including regulatory requirements and industry standards to solve complex data related challenges Analyzing data to uncover trends and generate insights that can inform business decisions Build and maintain relationships across Engineering, Product, Operations, Internal Audit, external audit and other external stakeholders to drive effective financial risk management. Work with DevSecOps, Security Assurance, Engineering, and Product teams to improve efficiency of control environments and provide risk management through implementation of automation and process improvement Bridge gaps between IT controls and business controls, including ITGCs and automated business controls. Work with IA to ensure complete control environment is managed Work with emerging products to understand risk profile and ensure an appropriate control environment is established Implement new process and controls in response to changes to the business environment, such as new product introduction, changes in accounting standards, internal process changes or reorganization. What You'll Need Experience in data architecture, data management, data engineering, data science or data analytics Experience in building analytical queries and dashboards using SQL, noSQL, Python etc. Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions Knowledge of tools in the following areas: Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.) Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.) Data Management (e.g., Informatica, Collibra, SAP, Oracle, IBM etc.) Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.) Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.) Data Mining (e.g., Microsoft SQL Server, etc.) Cloud Platforms (e.g., AWS, Azure, or Google Cloud) Ability to analyze complex processes to identify potential financial, operational, systems and compliance risks across major finance cycles Ability to assist management with the integration of security practices in the product development lifecycle (DevSecOps) Experience with homegrown applications in a microservices/dev-ops environment Experience with identifying potential security risks in platform environments and developing strategies to mitigate them Experience with SOX readiness assessments and control implementation Knowledge of DevOps practices, CI/CD pipelines, code management and automation tools (e.g., Jenkins, Git, Phab, Artifactory, SonarQube, Selenium, Fortify, Acunetix, Prisma Cloud) Preferred: Experience in: Managing technical data projects Leveraging data analytics tools/software to develop solutions and scripts Developing statistical model tools and techniques Developing and executing data governance frameworks or operating models Identifying data risks and designing and/or implementing appropriate controls Implementation of data quality process Developing data services and solutions in a cloud environment Designing data architecture Analyzing complex data sets & communicating findings effectively Process management experience, including process redesign and optimization Experience in scripting languages (e.g., Python, Bash) Experience in cloud platforms (e.g., AWS, Azure, GCP) and securing cloud-based applications/services To qualify for the role, you must have A bachelor's or master's degree A minimum of 3 years of experience working as an IT risk consultant or data analytics experience. Bring your experience in applying relevant technical knowledge in at least one of the following engagements: (a) risk consulting, (b) financial statement audits; (c) internal or operational audits, (d) IT compliance; and/or (e) Service Organization Controls Reporting engagements. We would expect for you to be available to travel outside of their assigned office location at least 50% of the time, plus commute within the region (where public transportation often is not available). Successful candidates must work in excess of standard hours when necessary. A valid passport is required. Ideally, you’ll also have A bachelor's or master's degree in business, computer science, information systems, informatics, computer engineering, accounting, or a related discipline CISA, CISSP, CISM, CPA or CA certification is desired; non-certified hires are required to become certified to be eligible for promotion to Manager. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity The objective of our Digital Risk Consulting service is to support clients with the development, implementation, improvement, and modernization of their technology risk and compliance programs to address the constantly changing risk and technology landscape. Our solutions can be used by our clients to build confidence and trust with their customers, the overall market, and when required by regulation or contract. Your Key Responsibilities You will operate as a team leader for engagements to help our clients develop and strengthen their IT risk and compliance programs. You will work directly with clients to review their IT processes and controls, remediate and implement controls, onboard new tools and services into risk and compliance frameworks, and assist with the readiness and adherence for new compliance regulations. Your responsibilities include both in-person and remote oversight and coaching of engagement team members, reporting to both senior engagement team members and client leadership, as well as partnering with our key client contacts to complete the engagement work. What You'll Do Designing and implementing solutions to various data related technical/compliance challenges such as DevSecOps, data strategy, data governance, data risks & relevant controls, data testing, data architecture, data platforms, data solution implementation, data quality and data security to manage and mitigate risk. Leveraging data analytics tools/software to build robust and scalable solutions through data analysis and data visualizations using SQL, Python and visualization tools Design and implement comprehensive data analytics strategies to support business decision-making. Collect, clean, and interpret large datasets from multiple sources, ensuring completeness, accuracy and integrity of data. Integrating and/or piloting next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) Developing custom scripts and algorithms to automate data processing and analysis to generate insights Applying business / domain knowledge including regulatory requirements and industry standards to solve complex data related challenges Analyzing data to uncover trends and generate insights that can inform business decisions Build and maintain relationships across Engineering, Product, Operations, Internal Audit, external audit and other external stakeholders to drive effective financial risk management. Work with DevSecOps, Security Assurance, Engineering, and Product teams to improve efficiency of control environments and provide risk management through implementation of automation and process improvement Bridge gaps between IT controls and business controls, including ITGCs and automated business controls. Work with IA to ensure complete control environment is managed Work with emerging products to understand risk profile and ensure an appropriate control environment is established Implement new process and controls in response to changes to the business environment, such as new product introduction, changes in accounting standards, internal process changes or reorganization. What You'll Need Experience in data architecture, data management, data engineering, data science or data analytics Experience in building analytical queries and dashboards using SQL, noSQL, Python etc. Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions Knowledge of tools in the following areas: Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.) Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.) Data Management (e.g., Informatica, Collibra, SAP, Oracle, IBM etc.) Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.) Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.) Data Mining (e.g., Microsoft SQL Server, etc.) Cloud Platforms (e.g., AWS, Azure, or Google Cloud) Ability to analyze complex processes to identify potential financial, operational, systems and compliance risks across major finance cycles Ability to assist management with the integration of security practices in the product development lifecycle (DevSecOps) Experience with homegrown applications in a microservices/dev-ops environment Experience with identifying potential security risks in platform environments and developing strategies to mitigate them Experience with SOX readiness assessments and control implementation Knowledge of DevOps practices, CI/CD pipelines, code management and automation tools (e.g., Jenkins, Git, Phab, Artifactory, SonarQube, Selenium, Fortify, Acunetix, Prisma Cloud) Preferred: Experience in: Managing technical data projects Leveraging data analytics tools/software to develop solutions and scripts Developing statistical model tools and techniques Developing and executing data governance frameworks or operating models Identifying data risks and designing and/or implementing appropriate controls Implementation of data quality process Developing data services and solutions in a cloud environment Designing data architecture Analyzing complex data sets & communicating findings effectively Process management experience, including process redesign and optimization Experience in scripting languages (e.g., Python, Bash) Experience in cloud platforms (e.g., AWS, Azure, GCP) and securing cloud-based applications/services To qualify for the role, you must have A bachelor's or master's degree A minimum of 3 years of experience working as an IT risk consultant or data analytics experience. Bring your experience in applying relevant technical knowledge in at least one of the following engagements: (a) risk consulting, (b) financial statement audits; (c) internal or operational audits, (d) IT compliance; and/or (e) Service Organization Controls Reporting engagements. We would expect for you to be available to travel outside of their assigned office location at least 50% of the time, plus commute within the region (where public transportation often is not available). Successful candidates must work in excess of standard hours when necessary. A valid passport is required. Ideally, you’ll also have A bachelor's or master's degree in business, computer science, information systems, informatics, computer engineering, accounting, or a related discipline CISA, CISSP, CISM, CPA or CA certification is desired; non-certified hires are required to become certified to be eligible for promotion to Manager. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity The objective of our Digital Risk Consulting service is to support clients with the development, implementation, improvement, and modernization of their technology risk and compliance programs to address the constantly changing risk and technology landscape. Our solutions can be used by our clients to build confidence and trust with their customers, the overall market, and when required by regulation or contract. Your Key Responsibilities You will operate as a team leader for engagements to help our clients develop and strengthen their IT risk and compliance programs. You will work directly with clients to review their IT processes and controls, remediate and implement controls, onboard new tools and services into risk and compliance frameworks, and assist with the readiness and adherence for new compliance regulations. Your responsibilities include both in-person and remote oversight and coaching of engagement team members, reporting to both senior engagement team members and client leadership, as well as partnering with our key client contacts to complete the engagement work. What You'll Do Designing and implementing solutions to various data related technical/compliance challenges such as DevSecOps, data strategy, data governance, data risks & relevant controls, data testing, data architecture, data platforms, data solution implementation, data quality and data security to manage and mitigate risk. Leveraging data analytics tools/software to build robust and scalable solutions through data analysis and data visualizations using SQL, Python and visualization tools Design and implement comprehensive data analytics strategies to support business decision-making. Collect, clean, and interpret large datasets from multiple sources, ensuring completeness, accuracy and integrity of data. Integrating and/or piloting next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) Developing custom scripts and algorithms to automate data processing and analysis to generate insights Applying business / domain knowledge including regulatory requirements and industry standards to solve complex data related challenges Analyzing data to uncover trends and generate insights that can inform business decisions Build and maintain relationships across Engineering, Product, Operations, Internal Audit, external audit and other external stakeholders to drive effective financial risk management. Work with DevSecOps, Security Assurance, Engineering, and Product teams to improve efficiency of control environments and provide risk management through implementation of automation and process improvement Bridge gaps between IT controls and business controls, including ITGCs and automated business controls. Work with IA to ensure complete control environment is managed Work with emerging products to understand risk profile and ensure an appropriate control environment is established Implement new process and controls in response to changes to the business environment, such as new product introduction, changes in accounting standards, internal process changes or reorganization. What You'll Need Experience in data architecture, data management, data engineering, data science or data analytics Experience in building analytical queries and dashboards using SQL, noSQL, Python etc. Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions Knowledge of tools in the following areas: Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.) Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.) Data Management (e.g., Informatica, Collibra, SAP, Oracle, IBM etc.) Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.) Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.) Data Mining (e.g., Microsoft SQL Server, etc.) Cloud Platforms (e.g., AWS, Azure, or Google Cloud) Ability to analyze complex processes to identify potential financial, operational, systems and compliance risks across major finance cycles Ability to assist management with the integration of security practices in the product development lifecycle (DevSecOps) Experience with homegrown applications in a microservices/dev-ops environment Experience with identifying potential security risks in platform environments and developing strategies to mitigate them Experience with SOX readiness assessments and control implementation Knowledge of DevOps practices, CI/CD pipelines, code management and automation tools (e.g., Jenkins, Git, Phab, Artifactory, SonarQube, Selenium, Fortify, Acunetix, Prisma Cloud) Preferred: Experience in: Managing technical data projects Leveraging data analytics tools/software to develop solutions and scripts Developing statistical model tools and techniques Developing and executing data governance frameworks or operating models Identifying data risks and designing and/or implementing appropriate controls Implementation of data quality process Developing data services and solutions in a cloud environment Designing data architecture Analyzing complex data sets & communicating findings effectively Process management experience, including process redesign and optimization Experience in scripting languages (e.g., Python, Bash) Experience in cloud platforms (e.g., AWS, Azure, GCP) and securing cloud-based applications/services To qualify for the role, you must have A bachelor's or master's degree A minimum of 3 years of experience working as an IT risk consultant or data analytics experience. Bring your experience in applying relevant technical knowledge in at least one of the following engagements: (a) risk consulting, (b) financial statement audits; (c) internal or operational audits, (d) IT compliance; and/or (e) Service Organization Controls Reporting engagements. We would expect for you to be available to travel outside of their assigned office location at least 50% of the time, plus commute within the region (where public transportation often is not available). Successful candidates must work in excess of standard hours when necessary. A valid passport is required. Ideally, you’ll also have A bachelor's or master's degree in business, computer science, information systems, informatics, computer engineering, accounting, or a related discipline CISA, CISSP, CISM, CPA or CA certification is desired; non-certified hires are required to become certified to be eligible for promotion to Manager. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity The objective of our Digital Risk Consulting service is to support clients with the development, implementation, improvement, and modernization of their technology risk and compliance programs to address the constantly changing risk and technology landscape. Our solutions can be used by our clients to build confidence and trust with their customers, the overall market, and when required by regulation or contract. Your Key Responsibilities You will operate as a team leader for engagements to help our clients develop and strengthen their IT risk and compliance programs. You will work directly with clients to review their IT processes and controls, remediate and implement controls, onboard new tools and services into risk and compliance frameworks, and assist with the readiness and adherence for new compliance regulations. Your responsibilities include both in-person and remote oversight and coaching of engagement team members, reporting to both senior engagement team members and client leadership, as well as partnering with our key client contacts to complete the engagement work. What You'll Do Designing and implementing solutions to various data related technical/compliance challenges such as DevSecOps, data strategy, data governance, data risks & relevant controls, data testing, data architecture, data platforms, data solution implementation, data quality and data security to manage and mitigate risk. Leveraging data analytics tools/software to build robust and scalable solutions through data analysis and data visualizations using SQL, Python and visualization tools Design and implement comprehensive data analytics strategies to support business decision-making. Collect, clean, and interpret large datasets from multiple sources, ensuring completeness, accuracy and integrity of data. Integrating and/or piloting next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) Developing custom scripts and algorithms to automate data processing and analysis to generate insights Applying business / domain knowledge including regulatory requirements and industry standards to solve complex data related challenges Analyzing data to uncover trends and generate insights that can inform business decisions Build and maintain relationships across Engineering, Product, Operations, Internal Audit, external audit and other external stakeholders to drive effective financial risk management. Work with DevSecOps, Security Assurance, Engineering, and Product teams to improve efficiency of control environments and provide risk management through implementation of automation and process improvement Bridge gaps between IT controls and business controls, including ITGCs and automated business controls. Work with IA to ensure complete control environment is managed Work with emerging products to understand risk profile and ensure an appropriate control environment is established Implement new process and controls in response to changes to the business environment, such as new product introduction, changes in accounting standards, internal process changes or reorganization. What You'll Need Experience in data architecture, data management, data engineering, data science or data analytics Experience in building analytical queries and dashboards using SQL, noSQL, Python etc. Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions Knowledge of tools in the following areas: Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.) Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.) Data Management (e.g., Informatica, Collibra, SAP, Oracle, IBM etc.) Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.) Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.) Data Mining (e.g., Microsoft SQL Server, etc.) Cloud Platforms (e.g., AWS, Azure, or Google Cloud) Ability to analyze complex processes to identify potential financial, operational, systems and compliance risks across major finance cycles Ability to assist management with the integration of security practices in the product development lifecycle (DevSecOps) Experience with homegrown applications in a microservices/dev-ops environment Experience with identifying potential security risks in platform environments and developing strategies to mitigate them Experience with SOX readiness assessments and control implementation Knowledge of DevOps practices, CI/CD pipelines, code management and automation tools (e.g., Jenkins, Git, Phab, Artifactory, SonarQube, Selenium, Fortify, Acunetix, Prisma Cloud) Preferred: Experience in: Managing technical data projects Leveraging data analytics tools/software to develop solutions and scripts Developing statistical model tools and techniques Developing and executing data governance frameworks or operating models Identifying data risks and designing and/or implementing appropriate controls Implementation of data quality process Developing data services and solutions in a cloud environment Designing data architecture Analyzing complex data sets & communicating findings effectively Process management experience, including process redesign and optimization Experience in scripting languages (e.g., Python, Bash) Experience in cloud platforms (e.g., AWS, Azure, GCP) and securing cloud-based applications/services To qualify for the role, you must have A bachelor's or master's degree A minimum of 3 years of experience working as an IT risk consultant or data analytics experience. Bring your experience in applying relevant technical knowledge in at least one of the following engagements: (a) risk consulting, (b) financial statement audits; (c) internal or operational audits, (d) IT compliance; and/or (e) Service Organization Controls Reporting engagements. We would expect for you to be available to travel outside of their assigned office location at least 50% of the time, plus commute within the region (where public transportation often is not available). Successful candidates must work in excess of standard hours when necessary. A valid passport is required. Ideally, you’ll also have A bachelor's or master's degree in business, computer science, information systems, informatics, computer engineering, accounting, or a related discipline CISA, CISSP, CISM, CPA or CA certification is desired; non-certified hires are required to become certified to be eligible for promotion to Manager. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity The objective of our Digital Risk Consulting service is to support clients with the development, implementation, improvement, and modernization of their technology risk and compliance programs to address the constantly changing risk and technology landscape. Our solutions can be used by our clients to build confidence and trust with their customers, the overall market, and when required by regulation or contract. Your Key Responsibilities You will operate as a team leader for engagements to help our clients develop and strengthen their IT risk and compliance programs. You will work directly with clients to review their IT processes and controls, remediate and implement controls, onboard new tools and services into risk and compliance frameworks, and assist with the readiness and adherence for new compliance regulations. Your responsibilities include both in-person and remote oversight and coaching of engagement team members, reporting to both senior engagement team members and client leadership, as well as partnering with our key client contacts to complete the engagement work. What You'll Do Designing and implementing solutions to various data related technical/compliance challenges such as DevSecOps, data strategy, data governance, data risks & relevant controls, data testing, data architecture, data platforms, data solution implementation, data quality and data security to manage and mitigate risk. Leveraging data analytics tools/software to build robust and scalable solutions through data analysis and data visualizations using SQL, Python and visualization tools Design and implement comprehensive data analytics strategies to support business decision-making. Collect, clean, and interpret large datasets from multiple sources, ensuring completeness, accuracy and integrity of data. Integrating and/or piloting next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) Developing custom scripts and algorithms to automate data processing and analysis to generate insights Applying business / domain knowledge including regulatory requirements and industry standards to solve complex data related challenges Analyzing data to uncover trends and generate insights that can inform business decisions Build and maintain relationships across Engineering, Product, Operations, Internal Audit, external audit and other external stakeholders to drive effective financial risk management. Work with DevSecOps, Security Assurance, Engineering, and Product teams to improve efficiency of control environments and provide risk management through implementation of automation and process improvement Bridge gaps between IT controls and business controls, including ITGCs and automated business controls. Work with IA to ensure complete control environment is managed Work with emerging products to understand risk profile and ensure an appropriate control environment is established Implement new process and controls in response to changes to the business environment, such as new product introduction, changes in accounting standards, internal process changes or reorganization. What You'll Need Experience in data architecture, data management, data engineering, data science or data analytics Experience in building analytical queries and dashboards using SQL, noSQL, Python etc. Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions Knowledge of tools in the following areas: Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.) Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.) Data Management (e.g., Informatica, Collibra, SAP, Oracle, IBM etc.) Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.) Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.) Data Mining (e.g., Microsoft SQL Server, etc.) Cloud Platforms (e.g., AWS, Azure, or Google Cloud) Ability to analyze complex processes to identify potential financial, operational, systems and compliance risks across major finance cycles Ability to assist management with the integration of security practices in the product development lifecycle (DevSecOps) Experience with homegrown applications in a microservices/dev-ops environment Experience with identifying potential security risks in platform environments and developing strategies to mitigate them Experience with SOX readiness assessments and control implementation Knowledge of DevOps practices, CI/CD pipelines, code management and automation tools (e.g., Jenkins, Git, Phab, Artifactory, SonarQube, Selenium, Fortify, Acunetix, Prisma Cloud) Preferred: Experience in: Managing technical data projects Leveraging data analytics tools/software to develop solutions and scripts Developing statistical model tools and techniques Developing and executing data governance frameworks or operating models Identifying data risks and designing and/or implementing appropriate controls Implementation of data quality process Developing data services and solutions in a cloud environment Designing data architecture Analyzing complex data sets & communicating findings effectively Process management experience, including process redesign and optimization Experience in scripting languages (e.g., Python, Bash) Experience in cloud platforms (e.g., AWS, Azure, GCP) and securing cloud-based applications/services To qualify for the role, you must have A bachelor's or master's degree A minimum of 3 years of experience working as an IT risk consultant or data analytics experience. Bring your experience in applying relevant technical knowledge in at least one of the following engagements: (a) risk consulting, (b) financial statement audits; (c) internal or operational audits, (d) IT compliance; and/or (e) Service Organization Controls Reporting engagements. We would expect for you to be available to travel outside of their assigned office location at least 50% of the time, plus commute within the region (where public transportation often is not available). Successful candidates must work in excess of standard hours when necessary. A valid passport is required. Ideally, you’ll also have A bachelor's or master's degree in business, computer science, information systems, informatics, computer engineering, accounting, or a related discipline CISA, CISSP, CISM, CPA or CA certification is desired; non-certified hires are required to become certified to be eligible for promotion to Manager. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Senior, P&C Actuarial, EY GDS Consulting Global Delivery Services is one of EY's greatest global assets – a network of service delivery centers that provide high-quality services at a competitive cost for all EY’s client serving and enablement teams. Every day, we combine our subject matter expertise with our technology and automation skills to develop new solutions that deliver greater value for EY. If you have a passion for enabling world class actuarial services globally to solve the most complex challenges in the financial services industry, come join our dynamic GDS team! The opportunity We are looking for a Senior to join our General Insurance Actuarial Practice delivering solutions to the leading clients in Insurance Sector, working closely with other Staff/Assistants, Consultants/Seniors, Managers, Senior Managers or Client partners in EY’s global network of insurance sector and consulting professionals. Within our talented and dynamic Actuarial team, the members work on multiple client engagement teams that perform actuarial model building and validations, reserving (actuarial liability estimation), due diligence, premium calculation, valuation analysis for IFRS, GAAP, and Statutory calculations and review, capital/risk modeling and other related actuarial projects for General and Health insurance businesses. The team members also receive on-the-job training to acquire practical experience in addressing business/technical issues and in applying industry knowledge and EY policies/procedures on client engagements. The position is designed to enable the member to pursue actuarial exams while developing the basic skills needed to be a successful actuarial consultant, combining both excellent learning and career opportunities. Our growing team of professionals come from a diverse background, all committed to being long term trusted advisors to our clients. Your key responsibilities As a Senior within the Actuarial team your role involves developing and implementing solutions both within the Insurance service line and in collaboration with other services lines . On engagements, you will: Be responsible for providing high quality results and generating effective solutions working along with Senior Consultants, Managers or Senior Managers in delivering the project Provide focused solutions and training to Staff members Be responsible for ensuring all engagement are delivered within time Deliver engagements in line with our values and commitment to quality and ensuring that work is of high standards Establish/manage priorities, communicate the status of activities, and accumulate/report all chargeable hours Within the actuarial practice you will: Actuarial liability estimation for general insurance lines of business which involves data preparation, data loading to tools, analysis of liabilities and presenting results Analyze the historical claims data and identify potential issues and trends and report the findings Perform valuation of reserves through IBNR models using the data supplied for estimation Working knowledge of different loss projection methods and their applications along with the familiarity of different property and casualty lines of business Review data, methodologies, assumptions, results and benchmark against the market Assessment of technical provisions and standard formula/ other capital calculations Large loss analysis, rating factor analysis and CAT benchmarking Perform ad-hoc research and development requests as required Preparations of report/memo sent to stakeholders showing results of the analysis Maintain strong focus in finishing Actuarial exams along with developing a strong subject matter expertise Risk analytics including development of analytical tools, analysis of insurance risk and general support for any risk analytics in the company Knowledge of ARIUS, Alteryx, IGLOO, ResQ or other reserving software are good to have, but not must criteria Stay informed of current business/economic developments relevant to the industry/ geography We are looking for individuals who have a proactive attitude and are seeking the opportunity for personal and professional growth, leveraging and supporting our global network. Skills and attributes for success Skills and attributes for a successful career at EY require a learning mindset and passion to add value to GDS, member firms and client organizations. Bright and enthusiastic individuals who give their all to each assignment they work on will find themselves at home within our energetic GDS actuarial team. To qualify for the role, you must have 3+ years’ experience in the General Insurance industry, either within a consulting firm or an Insurer or an organisation providing Insurance services (such as reserving, capital modelling, pricing, rate filling, CAT modelling, IFRS17, technical provision, solvency II and risk management) Ability to multi-task and flexible work attitude packed with good analytical skills Experience of handling a small team will be an advantage Proficiency in MS-Office Suite, VBA, SAS, R Programming, Python, SQL, SPSS, etc., will be a plus Good exam progress Ideally, you’ll also have Strong academic background with a bachelor’s degree with an emphasis in actuarial science, mathematics, statistics or finance related supplemented ideally with a professional qualification Strong written and verbal communication skills for report writing, industry studies and stakeholder presentations Overseas exposure (US, UK market experience) What We Look For Deep knowledge and experience of the insurance industry and/or consulting. Relevant recent big 4 experience in leading actuarial engagement with recognized insurers will be an advantage. This ideally should be complemented by employment experience within the Insurance sector either at an insurer, intermediary or regulator Up to date knowledge of the regulatory environment impacting insurers and other financial service organizations Experience of supporting teams to high quality timely delivery, actively building relationships and promoting a collaborative culture when working with colleagues EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Global Catalog Operations is seeking a highly skilled and experienced Business Analyst to lead its Business Analytics team. The successful candidate will be responsible for leading complex data analysis projects, developing and implementing process improvements, and communicating findings and recommendations to senior management through data visualizations and reports. In this role, you will have the opportunity to make a significant impact on the efficiency and performance of our operations. You will work closely with a talented and dynamic team to identify opportunities for improvement and optimize business processes through data-driven insights. Manage a team of business analysts to deliver to data analysis requests and generate insights for operations team and engineering partners Partner with technology leaders, program managers, operations leaders and internal stakeholders globally to identify, quantify and solve for opportunities to improve Catalog Quality. Learn and understand a broad range of Amazon s data resources and use them Helping operations with regular and ad hoc query/ data ETL jobs and work on simplifying/ standardizing operational metrics and reporting Enable operations team in effective decision making by retrieving, aggregating and synthesizing massive data from multiple sources and compiling it into a digestible and actionable format. Drive insights and action we can take to improve the customer experience Analyze and solve business problems with focus on understanding root causes and driving forward-looking opportunities Perform statistical tests to establish trends, patterns, seasonality. Use data mining, model building, and other analytical techniques to develop predictive models Establish relationship between output metrics and drivers to identify and control critical drivers to achieve the desired value of output metric. Write functional specs for tools and drive UAT based on business requirements Bachelors degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field 5+ yrs of experience in a business analyst/data analyst/statistical analyst role 2+ leading a team of Business Analysts Highly skilled at querying relational databases, ability to pull from various sources and having done so in a business environment Experience in data visualization platforms Proven problem-solving skills, project management skills, attention to detail, and exceptional organizational skills Communication (verbal, written, and data presentation) and interpersonal skills to effectively communicate with both business and technical teams Masters degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field Experience conducting advanced statistical analysis (skilled in using one or more of R/SPSS/SAS/Python and etc.)

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Senior, P&C Actuarial, EY GDS Consulting Global Delivery Services is one of EY's greatest global assets – a network of service delivery centers that provide high-quality services at a competitive cost for all EY’s client serving and enablement teams. Every day, we combine our subject matter expertise with our technology and automation skills to develop new solutions that deliver greater value for EY. If you have a passion for enabling world class actuarial services globally to solve the most complex challenges in the financial services industry, come join our dynamic GDS team! The opportunity We are looking for a Senior to join our General Insurance Actuarial Practice delivering solutions to the leading clients in Insurance Sector, working closely with other Staff/Assistants, Consultants/Seniors, Managers, Senior Managers or Client partners in EY’s global network of insurance sector and consulting professionals. Within our talented and dynamic Actuarial team, the members work on multiple client engagement teams that perform actuarial model building and validations, reserving (actuarial liability estimation), due diligence, premium calculation, valuation analysis for IFRS, GAAP, and Statutory calculations and review, capital/risk modeling and other related actuarial projects for General and Health insurance businesses. The team members also receive on-the-job training to acquire practical experience in addressing business/technical issues and in applying industry knowledge and EY policies/procedures on client engagements. The position is designed to enable the member to pursue actuarial exams while developing the basic skills needed to be a successful actuarial consultant, combining both excellent learning and career opportunities. Our growing team of professionals come from a diverse background, all committed to being long term trusted advisors to our clients. Your key responsibilities As a Senior within the Actuarial team your role involves developing and implementing solutions both within the Insurance service line and in collaboration with other services lines . On engagements, you will: Be responsible for providing high quality results and generating effective solutions working along with Senior Consultants, Managers or Senior Managers in delivering the project Provide focused solutions and training to Staff members Be responsible for ensuring all engagement are delivered within time Deliver engagements in line with our values and commitment to quality and ensuring that work is of high standards Establish/manage priorities, communicate the status of activities, and accumulate/report all chargeable hours Within the actuarial practice you will: Actuarial liability estimation for general insurance lines of business which involves data preparation, data loading to tools, analysis of liabilities and presenting results Analyze the historical claims data and identify potential issues and trends and report the findings Perform valuation of reserves through IBNR models using the data supplied for estimation Working knowledge of different loss projection methods and their applications along with the familiarity of different property and casualty lines of business Review data, methodologies, assumptions, results and benchmark against the market Assessment of technical provisions and standard formula/ other capital calculations Large loss analysis, rating factor analysis and CAT benchmarking Perform ad-hoc research and development requests as required Preparations of report/memo sent to stakeholders showing results of the analysis Maintain strong focus in finishing Actuarial exams along with developing a strong subject matter expertise Risk analytics including development of analytical tools, analysis of insurance risk and general support for any risk analytics in the company Knowledge of ARIUS, Alteryx, IGLOO, ResQ or other reserving software are good to have, but not must criteria Stay informed of current business/economic developments relevant to the industry/ geography We are looking for individuals who have a proactive attitude and are seeking the opportunity for personal and professional growth, leveraging and supporting our global network. Skills and attributes for success Skills and attributes for a successful career at EY require a learning mindset and passion to add value to GDS, member firms and client organizations. Bright and enthusiastic individuals who give their all to each assignment they work on will find themselves at home within our energetic GDS actuarial team. To qualify for the role, you must have 3+ years’ experience in the General Insurance industry, either within a consulting firm or an Insurer or an organisation providing Insurance services (such as reserving, capital modelling, pricing, rate filling, CAT modelling, IFRS17, technical provision, solvency II and risk management) Ability to multi-task and flexible work attitude packed with good analytical skills Experience of handling a small team will be an advantage Proficiency in MS-Office Suite, VBA, SAS, R Programming, Python, SQL, SPSS, etc., will be a plus Good exam progress Ideally, you’ll also have Strong academic background with a bachelor’s degree with an emphasis in actuarial science, mathematics, statistics or finance related supplemented ideally with a professional qualification Strong written and verbal communication skills for report writing, industry studies and stakeholder presentations Overseas exposure (US, UK market experience) What We Look For Deep knowledge and experience of the insurance industry and/or consulting. Relevant recent big 4 experience in leading actuarial engagement with recognized insurers will be an advantage. This ideally should be complemented by employment experience within the Insurance sector either at an insurer, intermediary or regulator Up to date knowledge of the regulatory environment impacting insurers and other financial service organizations Experience of supporting teams to high quality timely delivery, actively building relationships and promoting a collaborative culture when working with colleagues EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Senior AI/ML Engineer Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements Key Responsibilities Develop and optimize machine learning models for various applications. Implement AI algorithms, including deep learning, neural networks, and natural language processing (NLP). Design and maintain data pipelines for model training and deployment. Collaborate with cross-functional teams to integrate AI solutions into products. Conduct research on emerging AI technologies and best practices. Ensure scalability, reliability, and efficiency of AI models in production environments. Troubleshoot and improve existing AI/ML systems. Required Skills & Qualifications - Experience: 3-8 years in AI/ML development. Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks. Data Handling: Strong knowledge of data preprocessing, feature engineering, and model evaluation. Cloud & Deployment: Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Problem-Solving: Ability to analyze complex problems and develop AI-driven solutions.

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________

Associate / Sr. Associate- Programs - India Health Action Trust (IHAT) About IHAT: India Health Action Trust was instituted in 2003 as a Charitable Trust with a vision to meaningfully impact the lives of vulnerable and marginalised people by addressing health and social inequities. The Trust is working towards reducing inequities by developing comprehensive and sustainable programmes to improve population health. Since its inception, IHAT has working closely with the Government of India and state governments, including Uttar Pradesh, Madhya Pradesh, Rajasthan, Delhi and Bihar to achieve public health goals. Our work is focused in areas of prevention and control of HIV and Tuberculosis, in achieving significant improvements in Reproductive, Maternal, Neonatal and Child Health, improved Nutrition among mothers and children, and strengthening health systems. We use program science to optimise and scale public health programs while partnering with the governments and communities. About Program: The Uttar Pradesh Technical Support Unit (UPTSU) provides integrated Technical Assistance (TA) to the government of Uttar Pradesh (GoUP), which focuses on accelerating progress in reproductive, maternal, new-born and child health, and nutrition (RMNCHN). UPTSU works closely with the GoUP at the state, district and local levels to optimize RMNCHN programs and services. The technical assistance provided by UPTSU is integrated within the GoUP s health system response for scale-up and sustainability. UPTSU focuses on interventions to improve outcomes in Family Planning, Maternal and New-born Health, and Nutrition, along with Routine Immunization, Digital Health, and other initiatives. Director Facility Strengthening or to a person designated by him Travel Requirements: Up to 30% Job Summary : The District Specialist Technical, Urban Health Initiative will lead the efforts to build resilient and responsive urban health systems at the district level. The role focuses on improving governance, service delivery architecture, human resources, infrastructure, health financing, and inter-sectoral coordination in the intervention districts. Key Responsibilities: Support the program team with programmatic analysis of monitoring data, government data systems (HMIS, etc.), and survey-based data to highlight priorities and outliers. Coordinate with field team and facilitate key analysis on routine program indicators through data from various sources like HMIS/ODK/others and provide comprehensive insights on a monthly basis. Prepare a repository of all internal and external data sources related to the program. Prepare concept notes, reports, strategies and program progress documents. Support the program team in drafting operational guidelines and reviewing existing guidelines for related interventions in Uttar Pradesh Prepare monthly presentations for internal and external reviews. Conduct field visits to assess the program progress in documentation of data in HMIS/ODK/Others and provide insights to state/field to improve the same. Plan, organize and coordinate trainings /meetings /workshops for program team periodically. Coordinate with state and field teams like Director- Facility Strengthening; DD, Sr. State Specialist and District specialists- maternal anemia, E-Kawach Coordinators, and other stakeholders. Miscellaneous Any other work given by the line manager or the organization from time to time. Additional tasks as may be added to the Job Description as and when required. Work Experience: At least 2-3 years of experience in the documentation domain. Previous exposure of working along with government and experience in the area of maternal, new-born and child health will be given preference. Knowledge of data analysis packages like SPSS, STATA, etc. is desirable. Must be flexible and able to work in a challenging environment. Strong documentation skill with ability to analysis, dashboards, presentations, notes etc. Excellent computer skills (MS Word, Excel, PowerPoint). Graduate in science/ economics/ mass comm. Post-graduate in data science/ statistics/ public health/ health care management PhD will be added advantage Key Competencies: Knowledge of Maternal Health policies in India/UP Knowledge of Child Health policies in India/UP Basics of MS Word and PowerPoint Collaboration for Success How To Apply : Interested candidates should submit their applications by clicking the Apply Now button provided on this page. Only a complete application submitted through the online portal before the closing date will be considered. IHAT provides a safe working environment for all its employees; follows the principle of equal opportunity and encourages women applicants. Physically challenged with required skills /knowledge and willing to travel are also encouraged to apply. We will be following a systematic selection process to fill this position based on experience, competency and suitability. Shortlisting for the posts will take place soon after the closing date. Only shortlisted candidates will be invited for an interview. Unfortunately, we can only contact applicants who have been shortlisted for the interview. If you have not heard from us within 6 weeks of the closing date, please assume that the current IHAT positions are unable to accommodate you at the moment. It is also not possible for us to provide you with specific feedback because of the volume of applications we receive. IHAT does not charge any application, processing, training, interviewing, testing, or other fees in connection with the application or recruitment process. Should you receive a solicitation for the payment of a fee, please disregard it.

We are Licious and we are a Bengaluru based meat and seafood company founded in 2015 by Abhay Hanjura and Vivek Gupta, our founders, foodies and friends. We pride ourselves on being India’s most successful D2C food-tech brand operating in 20 cities across the country delighting over 32 lac customers with our de- licious fresh meat and seafood! Think you have what it takes to be the magic ingredient in the recipe that is Licious? Read on… Key Responsibilities: ● Get inside the minds of our consumers. Truly understand what makes them tick so we can build stronger, more meaningful connections with our brands. ● Be the insights glue. Work hand-in-hand with our awesome teams in product, marketing, growth, and innovation to keep consumer thinking front and center. ● Design smart research that works. Whether it's a deep-dive qualitative study or a big survey, you’ll pick the right tools to uncover the answers we need. Turn data into powerful narratives that challenge thinking, spark ideas, and inspire the whole organization. ● Tell stories that stick. Turn data into powerful narratives that challenge thinking, spark ideas, and inspire the whole organization. ● Fuel innovation. Help bring fresh ideas to life with strategic insights, concept testing, and consumer feedback that actually moves the needle. ● Be the research wizard. Know your way around end-to-end research methodologies, and be hands-on with tools like SPSS, Power BI, and Excel. ● Flex those analytical muscles. Use sharp thinking and data skills to uncover patterns, trends, and surprises that others might miss. ● Speak business, not just data. Understand how brand, product, and marketing functions operate—and back them up with insights from brand tracking, product and concept testing, and consumer segmentation. We hope that you have.. ● 5–7 years of rocking it in a Consumer Insights role, especially in a fast-paced D2C setup ● A love (or obsession) for food and meat in India — bonus points if you’re the go-to cook in your circle! ● Solid chops in both qual and quant research — whether it’s running deep-dive interviews or crunching survey data, you’re comfortable doing it all ● A true passion for building brands from the ground up ● A curious, creative, positive vibe that gets people excited and thinking differently ● The ability to thrive in the grey — you’re all about finding smart so

Job Title: Program Manager – Review and Monitoring Location: J& K Organization: KPMG India Service Line- G&PS Practice: IIDA (Industrial Infrastructure Development Advisory) >> About KPMG India KPMG in India has one of the leading food and agribusiness consulting practices offering a wide range of services to private enterprises, State governments, PSUs, Central government institutions and international donor organizations. The services encompass the overall spectrum from strategizing to implementation, monitoring, evaluation, market led interventions and co creating an enabling ecosystem and unlocking value for our clients within the Agri and allied sectors Our focus lies in providing apt and well-timed solutions to our clients despite the dynamic and heterogenous nature of the sector. With 100+ professionals having a significant and hands on experience across agriculture and allied value chains including but not limited to horticulture, dairy and animal husbandry, aquaculture, poultry, and a footprint in 10+ states and central government departments in India. The team is seeking an experienced professionals with exceptional interpersonal and technical skills that may include policy-based analysis, knowledge of trade, agricultural policies, and economics. The candidate should be able to drive and support the agenda of Agri and Allied Services practice of the firm both in India and globally and should have a deep technical understanding of the subject >>About KPMG India: G&PS – IIDA Advisory Industrial and infrastructure development holds critical significance for India's economic growth, acting as a catalyst for greenfield/ brownfield infrastructure development, industrial deepening, enhanced productivity, job creation and achieving ambitious development goals. The Government's unwavering commitment to advancing economic expansion is evident through transformative national programs and amplified capital spending. By strategically prioritizing these sectors, the government aims to lay the foundation for sustained progress, regional inclusivity, and heightened global competitiveness, helping ensure a robust and prosperous future for the nation. The Industrial and Infrastructure Development Advisory (IIDA) practice of KPMG in India has been advising and assisting India’s development objective by seamlessly bridging the gap between Government’s vision and execution, steering impactful initiatives across the spectrum of infrastructure, industrial and Small and Medium Enterprises (MSME) development as well as tourism, leisure, and sports. Our multidisciplinary approach blends cutting-edge strategies, regulatory acumen, and global best practices. Our team of multi-domain experts has successfully delivered national priority strategic engagements, providing guidance and insights to central and state governments, Public Sector Units (PSUs), and multilateral institutions Educational Qualifications: Master’s degree in Economics, Statistics, or a related field from an Institute of National Importance as recognized by the Ministry of Education. Experience Requirements: Minimum 5 years of professional experience in Fortune 500 companies. Demonstrated expertise in designing, implementing, and managing Monitoring & Evaluation (M&E) frameworks for large-scale projects. Key Responsibilities: Design and implement Results Frameworks and Results-Based Monitoring and Evaluation systems. Develop Terms of Reference (ToR) and Scope of Work (SOW) documents for engaging service providers, consultants, and agencies. Lead data management and analysis efforts using both quantitative and qualitative tools. Oversee data collection methodologies including CAPI, mobile-based platforms, and open-source tools. Ensure alignment of M&E activities with the goals of large-scale, government-funded projects at the state or national level. Apply diverse data collection techniques such as surveys, focus groups, interviews, and participatory methods to ensure data reliability. Synthesize complex data into actionable insights and present findings to technical and non-technical stakeholders. Utilize M&E tools and software including Microsoft Excel, SPSS, STATA, and MIS platforms. Monitor and report changes at output, outcome, and impact levels to track project progress. Prepare high-quality analytical reports and communicate findings effectively to donors, stakeholders, and senior management. Skills & Competencies: Strong analytical and presentation skills. Excellent report-writing and communication abilities. Proficiency in data analysis tools and M&E software. Ability to manage multiple stakeholders and work in cross-functional teams. Strategic thinking and problem-solving capabilities. Preferred Attributes: Experience in government or public sector projects. Familiarity with international development standards and donor reporting requirements.

Role: Consultant/Senior Consultant, Vijayawada, Andhra Pradesh Experience Required: 4-8 years [Not more than 8 years] Salary Band: 80k- 1.35 lakh per month Employment Type: Contractual (9 months) Language: Telugu speaking skills are preferred. __________________________________________________ About the role: We are seeking a Consultant/Senior Consultan t [PMU] to play a key role at the project level, with a strong preference for candidates experienced in the Education vertical . Working closely with the Engagement Manager and a small team, you will engage with practitioners, donors, and other stakeholders. The ultimate aim is to inspire and guide stakeholders to achieve intended outcomes through innovative strategy and implementation efforts. Key Responsibilities: 1. Strategic Communication & Presentations: Present research findings and insights through high-quality, visually compelling analysis. Adhere to standards of strategic communication (pyramid principle, objective communication, brevity, simplicity). 2. Research and Data Analysis: Formulate key areas of inquiry and conceptual frameworks for qualitative/quantitative research (beginner proficiency). Conduct primary and secondary research (intermediate proficiency in market research, solution landscape mapping, policy research, etc.). Mine, reorganize, and simplify data from various sources. Utilize statistical tools to interpret data sets, focusing on trends and patterns for diagnostic and predictive analytics. Manage focus groups, conduct interviews, and carry out surveys. Monitor data collection progress and perform quantitative/qualitative analysis to extract relevant meaning. 3. Project Management: Work closely with Engagement Managers and Senior Consultants to lead tracks and effectively plan daily responsibilities at a project level. Mentor and guide other Consultants, Associates, and Analysts to ensure their learning and delivery. Possess excellent time management and prioritization skills to focus on impact-linked activities. Solve problems effectively in short, high-pressure time frames to meet stakeholder expectations. Present findings to clients in an easy-to-understand manner. Proactively monitor and report any risks in individual/project milestones. Maintain thorough documentation of key project knowledge assets. 4. Government Engagement: Prior experience working with municipal, state, and central government ministries or specific departments is a must. Ability to apply for various government tenders and work with officials (Directors, Deputy Directors) across departments is essential. Prior experience completing projects commissioned via external agencies or partnerships is an added advantage. Prior work experience with Chief Secretaries, Commissioners, and other government officers is preferred. Key Qualification & Experience: Experience: 4-6 or 6-8 years of experience in consulting, project management & complex operations, and stakeholder management within corporate, social enterprises, consulting firms, or global foundations. Education: MBA/MA/MPP or an equivalent postgraduate degree in management/development studies. Problem Solving & Advisory: Exceptional problem-solving and advisory skills, strong presentation, and data analytical abilities. Government Engagement: Prior experience in Government Engagement at the state or national level across the Education sector is required. Communication: Strong communication skills with the ability to communicate complex ideas effectively. Team Leadership: Prior experience in leading small teams is an added advantage. Data Tools: Prior experience working with data across Excel, SPSS, STATA, etc., is an added advantage. Mindset: Display humility, willingness to listen, and excitement to learn. Multi-stakeholder Environment: Experience working in a multi-stakeholder environment will be an added advantage. Preferred: Strong problem-solving skills and prior experience in consulting firms, exceptional PowerPoint skills, strong understanding of data and extracting valuable insights, strong empathy for government stakeholders. Hiring Note : Applications will be reviewed on a rolling basis. This job is first posted on July 3, 2025, on GroundZeroJobs.Org For any questions, ping us on WhatsApp Chat helpline: +91-8058331557

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function Data Analytics & Computational Sciences Job Sub Function Business Intelligence Job Category Professional All Job Posting Locations: Mumbai, India, Singapore, Singapore Job Description At Johnson & Johnson MedTech, we unleash diverse healthcare expertise, purposeful technology, and a passion for people to transform the future of medical intervention and empower everyone to live their best life possible. For more than a century, we have driven breakthrough scientific innovation to address unmet needs and reimagine health. In Surgery, Orthopedics, vision, and interventional solutions, we continue to help save lives and create a future where healthcare solutions are smarter, less invasive, and more personalized. To support our Orthopedics business in APAC we are looking to hire a regional Manager of Strategic Insights and Anlaytics for Orthopedics. Orthopedics, part of the Johnson & Johnson Medical Devices Companies, has made significant contributions to surgery for more than 60 years from creating the first sutures, to revolutionizing surgery with minimally invasive procedures. Our continuing dedication to Shape the Future of Surgery is built on our commitment to help address the world's most pressing health care issues and improve and save more lives. Through Orthopedic technologies including Knees, Hips, Trauma, Spine, Sports and Robotics and our commitment to serve conditions requiring osteoporotic pain related implants, sports medicine, trauma care amongst others we deliver innovation to keep people moving. For more information, visit https://www.jnjmedtech.com/en-US/companies/DePuy-synthes General Summary The Manager Strategic Insights & Analytics is responsible for market analytics forecasting and supporting primary and secondary market research across APAC markets in support of the Orthopedics Business unit. The position will serve as a key partner to Marketing and other cross functional teams. The role will work with platform teams to support customer insights, market share, market sizing and procedure analysis, and planning across platforms. Frequent liaison with global Orthopedics Business unit SI&A teams is also required. The role will require a high degree of business acumen and understanding; must be able to proactively recommend tools and techniques to support primary market research, secondary market sources, and marketplace understanding needs across the business. With oversight, the position will have responsibility for executing strategic and tactical marketplace insight projects and activities, including managing external resources. Required Responsibilities Manage, create, influence and execute strategic and technical marketplace understanding and learning plans. This includes primary and secondary research and strategic and tactical forecasting and analytics. Influence multiple stakeholders to ensure a high-level of team involvement in key business discussions. Support Orthopedics Business unit in insight development and marketplace assessment solutions Flawless execution of all insight activities required to drive the success of the business and pipeline as needed. Proactively providing fact-based insights and analytics to address specific business needs Developing new product forecasts based on insights from primary and secondary market research. Provide foundational learning that helps to ensure that new products and programs are grounded in the understanding of marketplace dynamics Provide quarterly platform market and share insights Provide mid-to-long range forecasting of key platform markets and share across priority geographies. Qualifications A minimum of a BS or BA Degree is required. An MBA or MS Degree is preferred. A minimum of 3-5 years of progressive experience in market research, forecasting, strategic insights, business analytics, strategic forecasting, or a related field is required. Experience in the medical device, hospital specialty, or healthcare field is preferred. Experience in New Product Development and Innovation is preferred. Proven track record of working in a matrix environment where a high degree of collaboration and influence is required. Proficiency in Microsoft Word, Excel, and PowerPoint, and analytical tools (Qlik Sense, Tableau, or PowerBI) is required. Proficiency in analytical tools (SPSS, SAS, R, Python) is preferred. Skills Partnering: Proven track record of working across geographies within complex business environment is preferred. Proven track record of working in a matrix environment where a high degree of collaboration is needed. Influence/Communication: Ability to influence senior stakeholders and productively work through conflict; Strong, fact-based influencing; negotiation and conflict management skills; and strong verbal skills with clear, concise written communications. Excellent problem-solving and decision-making skills: Ability to disaggregate a problem in components and root causes; hypothesis-driven and able to drive 80/20 analysis with imperfect data; sound judgment and strong pattern recognition; solutions-oriented with a bias towards action. Disclaimer: The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

The Division of Medical Informatics is an active division of the Institute, involved with medical informatics research; e-learning, electronic health records and healthcare analytics. The division specializes in using information and communication technologies in innovative ways to make an impact in healthcare research, education and practice. As a team, the Division endeavors to innovate and provide solutions in the area of Digital Health and Health Education and extend its services by imparting training to researchers in the disciplines of clinical epidemiology and population sciences. Furthermore, the division strives to work diligently with fervor to serve and improve the Global health of communities by facilitating information sharing and collaboration. The focus areas of the Division are motivated by the need for developing sustainable healthcare IT tools which are culturally acceptable, and which will benefit the low socio-economic sections of society. Being an academic entity, the Division aspires to be a change agent that drives the future of technology and innovation in healthcare research. Preferred Qualifications: Experience: Minimum 1 year of experience working with private or government organization or similar experience. Experienced professionals who have skillsets outlined below can also apply. Freshers may be considered if candidate can demonstrate required aptitude and skill requirements are met. Required Skills: Strong understanding of public health principles, research methodologies, and biostatistics. Project coordination and management Knowledge of ethical principles and guidelines for conducting research involving human subjects. Ability to plan study activities based on different factors including study requirements Assisting/ Conducting focus group discussions, key informant interviews, surveys and data collection through other methods as per project requirements Interaction and liaising with stakeholders for scheduling project related activities. Assist in report writing and any other task assigned by the PI or as per requirement of other departmental tasks. Proficiency in conducting literature searches. Proficiency in data management and analysis tools (e.g., Excel, SPSS, R). Proficiency in using MS Office applications Desirable Knowledge: Familiarity with primary health care through state public health system or NGOs Experience with use or implementation of Digital Health Tools like EHRs, mHealth apps, Point-of-care devices. Employment Status: Contract (Initially for 6 month, extendable based on performance) Roles and Responsibilities: The candidate should work in the domain of Health Informatics and Medical Research. Co-ordinate with project staff in data collection and data entry. Ensure adherence to protocol, quality control and project timelines. Ensure confidentiality of the proprietary information shared. Ensure documentation of project related work processes, training material, assigned activities and project completion status. Maintain flexible work schedule (overtime) to complete project delivery. Resolve any work-related issues in coordination with the respective experts. Travel to the project site(s) across India to ensure smooth conduct of the project. The ideal candidate/s would use their skills to perform the following activities: Assist and conduct user interviews, observations, evaluations, and other forms of obtaining user feedback. Train the project staff as per study protocols Complete assigned data synthesis of collected data. To work collaboratively with various Government/Public Health officials and healthcare personnel to achieve the project goals. Maintain documentation related to day-to-day activities, assignments, and report daily. Coordination work for workshops and other dissemination events May be called upon to assume responsibilities and undertake specific activities not stated above, but within the mandate of this job, based on greater clarity of the requirement that emerges with time and associated with any revision of the Institute/Project s procedures. Last Day for Receiving Application: Division of Medical Informatics Project To Apply: E-mail cover letter and curriculum vitae on or before 7th July 2025 to

Job Description Overview: AtkinsR alis is one of the world s leading engineering design consultancies with a strong reputation in Water and Management consultancy (WMC). This team within AtkinsR alis Water, & Environment has a range of portfolio of development projects. We currently have an opportunity for a dynamic and motivated Engineer in our rapidly expanding WMC team in Bangalore. With a strong workload in the pipeline, we need to increase our resources to meet the growing demands of our clients across the UK and US, especially in water quality and hydraulic modelling. Responsibilities : Conduct comprehensive analyses of water quality parameters utilizing various modelling and analysis platforms. 6 to 8 years of experience in the water industry. Experience in hydraulic modelling - including any of the following environments in 1D, 2D, 3D: rivers, lakes, coastal, canals, sewers, dams etc. Applicants must be numerate, literate and familiar with IT and software appropriate to the tasks to be undertaken like; InfoWorks ICM (1D/2D), Mike (Rivers/Coastal). Knowledge on SAGIS- SIMCAT, RIOT, RQP, QUAL2K etc are an added value. Collaborate with cross-functional teams to collect, interpret, and assess data related to water quality, utilizing statistical methods and software tools and other relevant programs, to derive meaningful insights. Perform analysis of water sources, identifying potential issues, and recommending appropriate corrective measures. Utilize a strong understanding of hydraulics to assess water flow, distribution, and treatment processes, contributing to the optimization of systems and processes. Generate detailed reports and presentations summarizing findings, trends, and recommendations to stakeholders and regulatory bodies. Employ automation to improve data analysis efficiency and create custom tools for water quality assessment and reporting. Proactively identify areas for improvement in water quality management systems, proposing innovative solutions and strategies. Stay updated with industry advancements, emerging technologies, and regulatory changes to ensure compliance and continuous improvement in water quality standards. Requirements : Ph.D/Master s degree in Water Resources or Environmental Science, with Bachelors in Civil/Environmental Engineering, or related field. 6 to 8 years of experience in the water industry. Proven experience in water quality analysis, statistical analysis, and data interpretation. Strong understanding of hydraulics, water quality parameters and treatment processes. Excellent communication skills with the ability to convey complex technical information to diverse audiences. Critical thinking abilities and a proactive problem-solving attitude. Detail-oriented with a strong commitment to accuracy and quality in work. Ability to work both independently and collaboratively within a team environment. Proficiency in Microsoft Office Suite applications (Word, Excel, PowerPoint, Outlook). Programming skills in VBA/Python/Matlab for data analysis, automation, and tool development is advantageous. Statistical analysis tools/software (e.g., R, SPSS, SAS) and data visualization techniques is advantageous. Familiarity with regulatory standards and guidelines related to water quality management is advantageous. Worker Type Employee Job Type Regular

Business Analyst Location: Bangalore What is ONE Muthoot ONE Muthoot, is a fintech startup, building a financial ecosystem where customers can access relevant and reliable digital services across an expansive range of digital financial products in segments like Lending, Saving & Investment, Protection, and Remittance. Our products are designed to ensure a simple, reliable, and responsive financial environment for our customers. Envisioned to be the most trusted financial service provider, our app has an easy-to-use interface aimed to enhance user experience and comfortable navigation. Our promoter, Muthoot FinCorp Ltd., is one of the most reputed names in the Fintech industry and has the customers trust in diverse segments like Financial Services, Automotive, Hospitality, Alternate Energy, Real Estate, and Precious Metals. In our quest to build teams across diversified domains, we recently acquired Paymatrix, an award-winning start-up founded in 2016. It has helped us venture into rent and rent-related payments and other vendor payments using credit cards. Currently, we are working on transforming Paymatrix into a Virtual POS platform. ONE Muthoot believes in an ownership driven startup culture, where cumulative success is paramount, and each team member is valued and nurtured. What can you expect Build the future, Today - Build for scale in an ever-expanding marketplace Attractive compensation with wealth- building ESOPs - Attractive salaries and benefits Perks & other benefits - Wholesome well-being and personal satisfaction Work with the brightest minds in the industry - Premium colleges, great pedigree and amazing teams Dynamic work environment: Stable yet exciting - Constant challenges that test the best in you Fast-paced growth - Wide exposure, and terrific mentors to accelerate professional growth Role of business analyst: A Business Analyst at ONE Muthoot will be responsible for analysing the business processes and operations of the company, identifying areas for improvement, and developing strategies to increase efficiency and profitability. This will involve analysing data, conducting market research, and working with stakeholders to understand their needs and goals. Some specific responsibilities of a Business Analyst at ONE Muthoot will include: Analysing financial data to identify trends and patterns, and providing recommendations based on this analysis Developing and implementing business plans and strategies Identifying opportunities for process optimization and automation Developing and maintaining relationships with stakeholders, including clients, partners, and internal teams Providing support to the sales and marketing teams in the development of new products and services Collaborating with the IT team to develop and implement technological solutions to support business goals The ideal candidate for this role will have strong analytical and problem-solving skills, excellent communication and interpersonal skills, and the ability to work independently and as part of a team. A background in finance or business is preferred. What do you need to succeed Bachelors in Engineering, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute Proven working experience as a Data Analyst or Business Data Analyst Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks) Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc) Hands-on experience with data visualization tools such as Tableau, Qlikview, PowerBI, etc. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Adept at queries, report writing and presenting findings

Your tasks Define, Design and Execute process modelling & simulation, as-is business process analysis, process governance & supply chain management and BPR. Manage and execute various kind of E2E consulting engagements, large scale transformation and system implementation projects as process consultant Lead the business / client requirements analysis, project and program management during enterprise wide transformation, includes doing as-is study, define to-be for processes, competitive analysis, market research, data Benchmarking and KPIs. Manage and mentor team members Drive additional business opportunities for Adamas to grow the consulting practice Help in the consulting offering development activities Preferred skills and qualifications All consultants must have Engineering and MBA/PGDM degree. Experience in Supply chain areas Procurement, Sales & Operations planning, SC Strategy, Production efficiency improvement, Logistics (Distribution & Transportation), Inventory optimization, MRO. At least one MBA project is required in any of the above SC areas. Certification from APICS (CPIM, CSCP), American Society Transportation and Logistics and other related institutes is preferable. Knowledge of process modeling tools like WebSphere Modeler, MS Visio etc from Channel and Supply Chain will be an added advantage. Analytics professionals who have experience in the Data exploratory analysis and data modeling, data transformation and statistical analysis, descriptive, predictive and prescriptive modeling, Optimization techniques, and visualization techniques, with expertise in tools like SPSS, SAS, R, Cognos, along with conducting client workshops. Ability to multi-task and possess strong team/collaboration skills Support the GoTo-Market, Sales and Consulting Opportunities. Manage Customer relationship and Consulting engagements across locations & geographies. Experience in BPM area - includes metrics and process definition, process designing, process modeling and simulation, as-is process analysis, process & program management and BPR. Experience in relevant industry and/or consulting experience in Operations strategy, Supply Chain strategy, defining and improving Target Operational Models. Relevant experience and salary: 1. Junior Consultant: Experience 3 to 5 years 2. Mid-Level Consultant: Experience 5 to 9 years 3. Senior Consultant: Experience 10 years and above Send your resume to: kumarsaurabh.sen@riceindia.org Please mention the location in the subject line

Position: Market Research Consultant Location : India, Remote. Working Hours: 4:30 a.m. to 1:30 PM (IST) Employment Type : Full-time. Skills: 3–5 years of experience in market research or insights phenomenal writing skills in a research background. About Client: Our Client is a Melbourne, Australia-based boutique, full-service market research agency. Established in 2008, they specialize in delivering deep customer insights and actionable strategies using both qualitative and quantitative methods. About the Role We are looking for a skilled Market Research Consultant with hands-on experience in survey tools such as Q, SurveyMonkey , and a strong grasp of Excel and PowerPoint . The ideal candidate will have excellent analytical thinking and report-writing abilities , with a knack for turning complex data into compelling insights and narratives. Key Responsibilities Design and execute quantitative and qualitative research projects Create, distribute, and manage surveys using platforms like Q and SurveyMonkey, etc. Analyze large data sets using Excel (formulas, pivot tables, charts, etc.) Synthesize research findings into clear, concise PowerPoint presentations Write actionable reports with strong narrative structure and strategic insights Collaborate with cross-functional teams (marketing, product, strategy) to align research with business objectives Stay updated on research methodologies and tools Required Skills & Qualifications 3–5 years of relevant experience in market research or insights. We need people who specialize in writing and are phenomenal writers with a research background. Must have exposure to both qualitative and quantitative Market research methodologies. Proficiency in Q (Displayr), SurveyMonkey , and other survey platforms Strong command of Microsoft Excel and PowerPoint Excellent written communication skills for reports and presentations Analytical mindset with the ability to interpret and visualize data Degree in Marketing, Business, Psychology, Economics, or related field (preferred) Nice to Have Experience with SPSS, Tableau, or other analytics/visualization tools Knowledge of consumer behavior and market trends Exposure to both B2C and B2B research projects

Chitkara University is Looking for Assistant Professor Research - Doctoral Research Centre. Job Description DRC deals in guiding and evaluating the progress of PhD students from the development of research proposal to the submission of final PhD thesis. DRC members are responsible for taking PhD coursework classes such as Research Methodology course, Advanced Research Methodology course, Research and Publication Ethics, etc. Apart from this, members are responsible for writing research projects, organizing research methodology workshops (using software's such as SPSS, AMOS, and Bibliometric analysis Vos viewer software, etc.) conferences, and publishing in leading high impact journals. Desired Skills Required Supervise Ph.D. Students for the executive doctoral programs. Teach Ph.D. coursework classes. Publish in scholarly journals and generate other IPs such as patents. Organize research-oriented events Research and Perks Research guiding allowance: You will be a financial stakeholder in every Ph.D. student you guide, as per the prevailing norm. Consultancy allowance: You are allowed to retain 90% of the share you earn on each consultancy project you take up. Academic allowance: After completion of a year of service with the University, you may be chosen for getting the required allowances to attend flagship international conferences in India and abroad, as per the prevailing norms. You are entitled to access on-line journals and publication databases to help you remain updated. You are entitled to receive Seed Fund to initiate any start-up, in case you wish so. You will be also sponsored with the entire fee required to lodge your patents. Education Qualification- Ph.D. in Finance, Marketing, Human Resource (Required) Interested candidates can mail their resume mentioning DRC-25 in the subject line at akriti.sharma@chitkara.edu.in

Description Amazon Inventory Placement team is looking for a talented, innovative, hands-on and customer-obsessed Business Analyst for analytical support. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills and should be able to juggle multiple tasks at once. Ideal candidate must exhibit strong analytical skills and have proficiency in following tools: SQL, Advanced Excel, Macros. This job requires the candidate to constantly hit the ground running and ability to learn quickly. The Business Analyst position is based in Bangalore. Key job responsibilities This role primarily focuses on deep-dives, creating dashboard with hands-off wheel approach, working with different teams to develop and track metrics and bridges. Basic Qualifications 1+ years of data analytics or automation experience 1+ years of capacity planning, operations planning, business analysis or similar experience Bachelor's degree Knowledge of data pipelining and extraction using SQL Knowledge of SQL and Excel at a moderate or advanced level Experience with data mining tools like SQL, SAS, SPSS, or similar Preferred Qualifications Bachelor's degree in mathematics, engineering, statistics, computer science or a related field Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ASSPL - Karnataka Job ID: A3023786

Define, Design, and Build an optimal data pipeline architecture to collect data from a variety of sources, cleanse, and organize data in SQL & NoSQL destinations (ELT & ETL Processes). Define and Build business use case-specific data models that can be consumed by Data Scientists and Data Analysts to conduct discovery and drive business insights and patterns. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies. Build and deploy analytical models and tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs. Define, Design, and Build Executive dashboards and reports catalogs to serve decision-making and insight generation needs. Provide inputs to help keep data separated and secure across data centers on-prem and private and public cloud environments. Create data tools for analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Implement scheduled data load process and maintain and manage the data pipelines. Troubleshoot, investigate, and fix failed data pipelines and prepare RCA. Experience with a mix of the following Data Engineering Technologies Python, Spark, Snowflake, Databricks, Hadoop (CDH), Hive, Sqoop, oozie SQL Postgres, MySQL, MS SQL Server Azure ADF, Synapse Analytics, SQL Server, ADLS G2 AWS Redshift, EMR cluster, S3 Experience with a mix of the following Data Analytics and Visualization toolsets SQL, PowerBI, Tableau, Looker, Python, R Python libraries -- Pandas, Scikit-learn, Seaborn, Matplotlib, TF, Stat-Models, PySpark, Spark-SQL, R, SAS, Julia, SPSS, Azure Synapse Analytics, Azure ML studio, Azure Auto ML

Define, Design, and Build an optimal data pipeline architecture to collect data from a variety of sources, cleanse, and organize data in SQL & NoSQL destinations (ELT & ETL Processes). Define and Build business use case-specific data models that can be consumed by Data Scientists and Data Analysts to conduct discovery and drive business insights and patterns. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies. Build and deploy analytical models and tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs. Define, Design, and Build Executive dashboards and reports catalogs to serve decision-making and insight generation needs. Provide inputs to help keep data separated and secure across data centers - on-prem and private and public cloud environments. Create data tools for analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Implement scheduled data load process and maintain and manage the data pipelines. Troubleshoot, investigate, and fix failed data pipelines and prepare RCA. Experience with a mix of the following Data Engineering Technologies Python, Spark, Snowflake, Databricks, Hadoop (CDH), Hive, Sqoop, oozie SQL - Postgres, MySQL, MS SQL Server Azure - ADF, Synapse Analytics, SQL Server, ADLS G2 AWS - Redshift, EMR cluster, S3 Experience with a mix of the following Data Analytics and Visualization toolsets SQL, PowerBI, Tableau, Looker, Python, R Python libraries -- Pandas, Scikit-learn, Seaborn, Matplotlib, TF, Stat-Models, PySpark, Spark-SQL, R, SAS, Julia, SPSS, Azure - Synapse Analytics, Azure ML studio, Azure Auto ML