142 Analysis Tools Jobs - Page 3

Overview MSCI Index Data Operations (IDO)) team provides high quality and differentiated equity data for construction of MSCI’s products such as Equity Indexes, Risk Models and ESG Ratings. The Index Data Specialist will be responsible for end-to-end data development of new products for our Indexes division as a data content expert covering all aspects of Index data like Universe management, Shares, Free float, corporate actions, Dividend, Fundamental data, options, risk-factors etc for multi-asset classes. The ideal candidate will have a strong technical background, excellent data analysis skills, and the ability to coordinate and manage various stakeholders effectively. Responsibilities Data Analysis and Understanding: Analyze and interpret Index input data to identify trends, patterns, and insights. Possess a comprehensive understanding of the workflow and establish expertise in the entirety of data points. Take full ownership of Index Input Data, encompassing the processing and validation of such data. Collaborate effectively with data providers and internal stakeholders to guarantee timely and accurate data ingestion. Ensure data accuracy and integrity throughout the product development lifecycle. Product Development: Lead the data development of new index products from concept to launch. Collaborate with cross-functional teams to define product requirements and specifications. Develop and maintain project plans, timelines. Stakeholder Management: Coordinate and manage communication with internal and external stakeholders. Facilitate regular updates and meetings with senior management and other key stakeholders. Address and resolve any issues or conflicts that arise during the project. Ability to multi-task and be able to work on multiple projects at the same time Technical Expertise: Utilize technical knowledge to support product development and problem-solving. Stay updated with the latest industry trends and technologies related to indexes and data analysis. Proactively identify areas for process optimization and efficiency gains. Suggest enhancements to data workflows, quality control procedures, and reporting mechanisms. Reporting and Documentation: Prepare and present project status reports to senior management. Perform risk management to minimize project risks. Document all project-related activities, decisions, and changes. Qualifications Master’s degree in finance, Economics or Mathematics (Including equivalents of CA, CFA, FRM, MMS, MBA). Minimum of 5-7 years of relevant working experience (Industry type: Financial Services , Broking , Capital Market). Proven experience in project management, preferably in the financial services or data analytics industry. Strong technical background with proficiency in data analysis tools and software, Python, Power BI,etc Excellent communication, coordination, and stakeholder management skills. Ability to work independently and as part of a team in a fast-paced environment. PMP or similar project management certification is a plus. Skills: Data analysis and interpretation Project planning and management Stakeholder coordination and communication Technical problem-solving Reporting and documentation What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for ensuring the proper management, governance, quality, and accessibility of an organization's data. Ensure data is trustworthy, well-organized, and effectively used, playing a crucial role in enabling data-driven decision-making and maintaining regulatory compliance. The ideal candidate has deep technical skills, experience with Syniti Knowledge platform (SKP) technologies, and a deep understanding of data architecture and ETL processes. Roles & Responsibilities: Design, develop, and manage data migration solutions using the Syniti Knowledge Platform. Configure and optimize Syniti Data Replication (SDR) and Syniti Advanced Data Migration (ADM) solutions. Collaborate with team members to understand data governance and quality requirements and implement solutions to address them. Monitor and improve data accuracy, completeness, consistency, and reliability. Create and maintain metadata repositories for easy data identification and understanding. Manage access controls to ensure authorized personnel can access data. Safeguard sensitive and confidential data from unauthorized access. Work with data owners, data analysts, and IT teams to align data practices with business objectives. Act as a liaison between technical teams and business users to ensure data meets organizational needs. Develop and maintain documentation for data processes, standards, and workflows. Investigate and resolve data-related issues and discrepancies. Develop and maintain metrics to track data quality and stewardship effectiveness. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Preferred Qualifications: Demonstrate a solid understanding of Syniti’s Data Migration methodology. Demonstrate strong proficiency in Syniti’s tools(ADM, Data Quality, MDM, Mass maintenance & SDR), working to prescribed development standards. Good understanding of business processes for one or more assigned functional area, and the ability to quickly learn about new areas. Demonstrate a strong knowledge of underlying technical data structures and definitions of assigned functional process area. Develop data migration rules and reports in the Syniti’s tools as per supplied specification. Evaluate and contribute to ongoing data migration design for assigned process area through data analysis, reporting and collaboration with on-site Syniti and client colleagues. Create and maintain data load programs. Experience with SAP Advanced Data Migration and Management(ADMM) Maintain related documentation and clearly communicate status to Syniti Team Leadership and customer PMO. Execution of end-to-end data loads and reconciliations. Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools Database experience - SQL Server, Oracle etc. Good-to-Have Skills: Experience in ETL / Data Migration / Data Quality / Data Analysis. ERP techno-functional or functional experience, SAP preferred. Experience in SAP MDG Business Partner (Customer & Supplier), Material & Finance objects. Successfully participated in at least one or more full ERP implementation lifecycles. Working knowledge in SAFe development environment. Understanding of enterprise data strategy, data governance, data infrastructure. Working knowledge with cloud (e.g. AWS) and on-premises compute infrastructure. Database experience - SQL Server, Oracle etc. Professional Certifications: Agile Certified Practitioner (preferred) Syniti Certified Developer certification (preferred) Soft Skills: Excellent critical-thinking and problem-solving skills. Good communication and collaboration skills. Demonstrated awareness of how to function in a team setting. Demonstrated presentation skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

ABOUT THE ROLE You will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative leverages state-of-the-art technologies, including Generative AI, Structured Content Management, and integrated data to automate the creation, review, and approval of regulatory content. ? The role is responsible for sourcing and analyzing data for this initiative and support designing, building, and maintaining the data pipelines to drive business actions and automation . This role involves working with Operations source systems, find the right data sources, standardize data sets, supporting data governance to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Roles & Responsibilities Ensure reliable , secure and compliant operating environment. Identify , extract, and integrate required business data from Operations systems residing in modern cloud-based architectures. Design, develop, test and maintain scalable data pipelines, ensuring data quality via ETL/ELT processes. Schedul e and manag e workflows the ensure pipeline s run on schedule and are monitored for failures. Implement data integration solutions and manage end-to-end pipeline projects, including scope, timelines, and risk. Reverse-engineer schemas and explore source system tables to map local representations of target business concepts. Navigate application UIs and backends to gain business domain knowledge and detect data inconsistencies. Break down information models into fine-grained, business-contextualized data components. Work closely with cross-functional teams, including product teams, data architects, and business SMEs, to understand requirements and design solutions. Collaborate with data scientists to develop pipelines that meet dynamic business needs across regions. Create and maintain data models, dictionaries, and documentation to ensure accuracy and consistency. Adhere to SOPs, GDEs , and best practices for coding, testing, and reusable component design. Basic Qualifications and Experience Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Functional Skills: Must-Have Skills: Hands on experience with data practices, technologies , and platforms , such as Databricks, Python, Prophecy, Gitlab, LucidChart etc Proficiency in data analysis tools ( eg. SQL) and experience with data sourcing tools Excellent problem-solving skills and the ability to work with large, complex datasets U nderstanding of data governance frameworks, tools, and best practices. Knowledge of and experience with data standards (FAIR) and protection regulations and compliance requirements (e.g., GDPR, CCPA) Good-to-Have Skills: Experience with ETL tools and various Python packages related to data processing, machine learning model development Strong understanding of data modeling, data warehousing, and data integration concepts Knowledge of Python /R , Databricks, cloud data platforms Professional Certifications Certified Data Engineer / Data Analyst (preferred on Databricks ) Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of the data pipeline Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate and communicate effectively with product teams Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve complex data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation What we expect of you Master’s degree and 4 to 6 years of Computer Science, IT or related field experience OR Bachelor’s degree and 6 to 8 years of Computer Science, IT or related field experience OR Diploma and 10 to 12 years of Computer Science, IT or related field experience Basic Qualifications: Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL),Snowflake, workflow orchestration, performance tuning on big data processing Proficiency in data analysis tools (eg. SQL) Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores Excellent problem-solving skills and the ability to work with large, complex datasets Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development Strong understanding of data modeling, data warehousing, and data integration concepts Proven ability to optimize query performance on big data platforms Preferred Qualifications: Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing Knowledge of Python/R, Databricks, SageMaker, cloud data platforms Strong understanding of data governance frameworks, tools, and best practices. Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA) Professional Certifications: AWS Certified Data Engineer preferred Databricks Certificate preferred Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation .

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of the data pipeline Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate and communicate effectively with product teams Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve complex data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation What we expect of you Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Basic Qualifications: Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL),Snowflake, workflow orchestration, performance tuning on big data processing Proficiency in data analysis tools (eg. SQL) Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development Strong understanding of data modeling, data warehousing, and data integration concepts Proven ability to optimize query performance on big data platforms Preferred Qualifications: Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing Knowledge of Python/R, Databricks, SageMaker, cloud data platforms Strong understanding of data governance frameworks, tools, and best practices. Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA) Professional Certifications: AWS Certified Data Engineer preferred Databricks Certificate preferred Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation .

What you will do Let’s do this. Let’s change the world. In this vital role you are responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of the data pipeline Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate and communicate effectively with product teams Identify and resolve complex data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Preferred Qualifications: Functional Skills: Must-Have Skills : Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), AWS, Redshift, Snowflake, workflow orchestration, performance tuning on big data processing Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools. Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development Proven ability to optimize query performance on big data platforms Good-to-Have Skills: Experience with data modeling, performance tuning, on relational and graph databases( e.g. Marklogic, Allegrograph, Stardog, RDF Triplestore).. Strong understanding of data modeling, data warehousing, and data integration concepts Knowledge of Python/R, Databricks, SageMaker, cloud data platform Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing Professional Certifications : AWS Certified Data Engineer preferred Databricks Certificate preferred Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. Equal opportunity statement Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com

What you will do Let’s do this. Let’s change the world. In this vital role you areresponsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of the data pipeline Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate and communicate effectively with product teams Identify and resolve complex data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Bachelor’s degree and 0 to 3 years of Computer Science, IT or related field experience OR Diploma and 4 to 7 years of Computer Science, IT or related field experience Preferred Qualifications: Functional Skills: Must-Have Skills : Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), AWS, Redshift, Snowflake, workflow orchestration, performance tuning on big data processing Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools. Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores. Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development Good-to-Have Skills: Experience with data modeling, performance tuning on relational and graph databases ( e.g. Marklogic, Allegrograph, Stardog, RDF Triplestore). Understanding of data modeling, data warehousing, and data integration concepts Knowledge of Python/R, Databricks, SageMaker, cloud data platform Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing Professional Certifications : AWS Certified Data Engineer preferred Databricks Certificate preferred Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. Equal opportunity statement Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com

: Job TitleAFC Transaction Monitoring - Lead Business Functional Analyst, VP LocationPune, India Role Description You will be joining the Anti-Financial Crime (AFC) Technology team and will work as part of a multi-skilled agile squad, specializing in understanding, enhancing and expanding the datasets required in Transaction Monitoring to identify Money Laundering or Terrorism Financing. You will have the opportunity to work on challenging problems, analyze large complex datasets and develop a deep understanding of the Transaction Monitoring functions and dataflows. As a key member of our team, you will play a crucial role in ensuring the integrity, accuracy, and completeness of the data required to run our transaction monitoring systems. Your expertise in data analysis, management, and technology will be instrumental to understand and leverage large datasets, ensuring compliance with regulatory requirements, and improving the quality of the Transaction Monitoring alerts. Deutsche Banks Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities As a Vice President, your role will include management and leadership responsibilities, such as: Collaborate with stakeholders to gather, analyze, and document requirements, ensuring that the requirements are clear, comprehensive, and aligned with business objectives. Work closely with developers and architects to design and implement solutions that meet business needs whilst ensuring that solutions are scalable, supportable and sustainable. Thinking analytically, with systematic and logical approach to solving complex problems with a and high attention to detail Create and maintain comprehensive documentation, including requirements, process flows, and user guides. Ensure that documentation is accurate, up-to-date, and accessible to relevant stakeholders Be the voice of the customer when interacting with the development teams to ensure delivery is aligned to business requirements and expectations, Leading and collaborating across teams, mentoring, teaching, discovering new techniques and helping others to adopt them, leading by example. Employing data querying and analytical techniques to support the understanding of data and creation of reports and actionable intelligence. Your skills and experience Very good analytical problem-solving capabilities, Proven experience in data analysis, management, and technology integration. Proficiency in data analysis tools and programming languages (e.g., Python, SQL, R), ideally in a Cloud or Big Data environment, Understanding of the payments industry, payments systems, data and protocols as well as SWIFT messaging Experience leading and developing junior resources Excellent communication skills, with demonstrable ability to interface and converse at both junior and senior level and with both technical and non-IT staff How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

: Job TitleBusiness Risk Analyst Corporate TitleAVP LocationMumbai, India Role Description We are seeking a Business Risk Analyst to join our global team, focusing on FinTech and VASPs. This role is critical to strengthening our control frameworks, ensuring regulatory compliance, and mitigating risks in dynamic sectors. The ideal candidate will have a strong analytic mindset and a solid foundation in risk controls, FinTech ecosystems and blockchain technology. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. And above Your key responsibilities Support FinTech & VASP control Processes Assist in executing predefined controls for Fintech clients (e.g. PSPs, Marketplaces) Perform periodic blockchain address screening in blockchain analytic tools and conduct initial financial crime risk-related assessment thereof Use blockchain analytical tools to generate standardized screening reports and flag potential financial crime-related risks for further review Non-Client Counterparty Due Diligence Support Gather preliminary information on non-client counterparties. Perform or assist in initial financial crime and reputational risk assessment on non-client counterparties Maintain organized records of non-client counterparty risk reviews and escalate as in pre-defined process. Data & Reporting Assistance Compile and organize data for risk report, using tools like Excel or BI platforms (e.g. Tableau) Support team lead in data visualization or summaries to highlight trends and anomalies. Assist in maintaining lists of clients, non-client counterparties and responding to relevant internal enquiries Your skills and experience 2 years of experience in risk, compliance, operations, or a related field. Analytical mindsetability to interpret basic datasets, identify patterns, and ask questions to clarify ambiguity Basic proficiency in Excel and willingness to learn new tools Strong organizational skills and attention to details Experience in blockchain analytical tools (e.g. Chainalysis) is a plus Experience in Fintech, Blockchain technology is a plus Familiarity with global regulatory frameworks for VASPs is a plus (e.g. EUs MiCA, Singapores PSA) Experience in KYC processes, Transaction Monitoring is a plus Experience in payments is a plus Proficiency in data analysis tools is a plusAdvanced Excel, SQL, or BI Platforms (e.g. Tableau) How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information: https://www.db.com/company/company.ht We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

: Job TitleBusiness Risk Analyst Corporate TitleAS LocationMumbai, India Role Description We are seeking a Business Risk Analyst to join our global team, focusing on FinTech and VASPs. This role is critical to strengthening our control frameworks, ensuring regulatory compliance, and mitigating risks in dynamic sectors. The ideal candidate will have a strong analytic mindset and a solid foundation in risk controls, FinTech ecosystems and blockchain technology. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. And above Your key responsibilities Support FinTech & VASP control Processes Assist in executing predefined controls for Fintech clients (e.g. PSPs, Marketplaces) Perform periodic blockchain address screening in blockchain analytic tools and conduct initial financial crime risk-related assessment thereof Use blockchain analytical tools to generate standardized screening reports and flag potential financial crime-related risks for further review Non-Client Counterparty Due Diligence Support Gather preliminary information on non-client counterparties. Perform or assist in initial financial crime and reputational risk assessment on non-client counterparties Maintain organized records of non-client counterparty risk reviews and escalate as in pre-defined process. Data & Reporting Assistance Compile and organize data for risk report, using tools like Excel or BI platforms (e.g. Tableau) Support team lead in data visualization or summaries to highlight trends and anomalies. Assist in maintaining lists of clients, non-client counterparties and responding to relevant internal enquiries Your skills and experience 2 years of experience in risk, compliance, operations, or a related field. Analytical mindsetability to interpret basic datasets, identify patterns, and ask questions to clarify ambiguity Basic proficiency in Excel and willingness to learn new tools Strong organizational skills and attention to details Experience in blockchain analytical tools (e.g. Chainalysis) is a plus Experience in Fintech, Blockchain technology is a plus Familiarity with global regulatory frameworks for VASPs is a plus (e.g. EUs MiCA, Singapores PSA) Experience in KYC processes, Transaction Monitoring is a plus Experience in payments is a plus Proficiency in data analysis tools is a plusAdvanced Excel, SQL, or BI Platforms (e.g. Tableau) How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information: https://www.db.com/company/company.ht We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Requirement Gathering & Analysis:Working with stakeholders to understand business needs and translating them into specific requirements for Replicon implementation or configuration. Solution Design & Implementation:Designing and implementing Replicon solutions that meet the identified requirements, including configuration, customization, and integration with other systems. Data Analysis & Reporting:Analyzing data generated by Replicon to identify trends, patterns, and areas for improvement, and providing insights through reports and dashboards. Process Optimization:Identifying and implementing processes to streamline operations and improve efficiency using Replicon features. Primary Skills Familiarity with Replicon modules (e.g., Time & Expense, Projects, Resources), understanding of ERP environments, and proficiency in data analysis tools like Excel. A strong understanding of business principles, industry best practices, and project management methodologies. Problem-Solving & Analytical Thinking:Ability to identify and resolve issues, and to develop data-driven solutions Skills (competencies) Verbal Communication

We are looking for a Forensic Data Analyst to join the Forensics, Litigation & Valuation Services Department In this role, you will be responsible forWorking with a team to perform forensic accounting, internal investigations, litigation support, regulatory-driven and other consulting matters on a wide range of entities across industries Assisting in solving complex client problems using data Managing the production and analysis of large amounts of structured and unstructured data from a variety of sources Leading execution of quality control activities such as performing data integrity checks of client data received, identifying any gaps, and communicating timely any issues that arise Assisting in preparing reports and presenting the results in a clear and concise manner to senior management and board members Mentoring, training and supervising junior staff Cultivating and maintaining long-term client relationships and professional networks Actively leading and participating in business development activities including proposals, presentations, publications, and other interactions with current and prospective clients QualificationsB A /B S /B B A /Master’s in Computer Science or related field Additional coursework or work experience in finance, accounting, business preferred Completed or actively pursuing CPA, CFE, CFF, CAMS or related certification Have 2-4 years recent forensic experience, preferably in a professional services environment Domain knowledge and experience with financial regulators (eg, CFPB, SEC, FINRA, state securities regulators) a plus Demonstrated technical skills, includingHighly proficient in SQL, Python, R, or related data analysis tools Experience with data visualization tools such as Tableau, Power BI Familiarity with machine learning techniques and statistical analysis Excellent project management and organizational skills Excellent verbal and written communication skills Demonstrate an ability to be a self-starter, manage staff and work cooperatively with team members

Back Key Responsibilities Identify network problem areas and evaluate/implement solutions to improve customer experience, network quality and performance Design new sites using simulated coverage analysis based on radio propagation software (Planet, Atoll) Evaluate and select new site candidates Design antenna configuration for new sites & site upgrades (antenna selection, elevation, orientation, tilt, and SC6 compliance) Configure datafill & integrate new sites into the existing network Assess impact using network KPIs, customer experience metrics and other key indicators to demonstrate benefit to customer Produce required technical documentation to demonstrate impact on customer experience from introduction of new site / site upgrade Create Installation Work Orders to enable implementation of site solution Identify automation opportunities and laison with right team members to deliver automation capability in order to improve efficiency within Wireless Engineering and Operations Required qualifications to be successful in this role Minimum of 5-7 years experience in radio network design and optimization focused on 5G and LTE technologies Deep working knowledge and experience on different RAN technologiesHSPA/UMTS, LTE, 5G NSA/SA In-depth knowledge and hand-on skills on Network Management Systems (Nokia NetAct, Ericsson ENM, Huawei U2020) In-depth knowledge and hand-on skills using Actix Analyzer and DriveTest Analysis Tools Business acumen to assess value and impact from the work Additional Information Job Type Full Time Work ProfileHybrid (Work from Office/ Remote) Years of Experience5-7 Years LocationBangalore What We Offer Competitive salaries and comprehensive health benefits Flexible work hours and remote work options Professional development and training opportunities A supportive and inclusive work environment

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking a skilled Market Research Analyst with a minimum of 2 years of experience to join us as a freelancer and provide actionable insights to support data-driven marketing strategies and business decisions Key Responsibilities: Conduct primary and secondary research to gather market data and trends Analyze customer behavior, competitor strategies, and market dynamics Prepare reports and presentations with insights and recommendations for the team Assist in identifying new market opportunities and areas for growth Required Qualifications: 2+ years of experience in market research and analysis Strong knowledge of data collection methods and analysis tools (e g , SPSS, Excel) Excellent analytical, communication, and presentation skills Why Join Us Competitive pay (‚1200/hour) Flexible hours Remote opportunity NOTEPay will vary by project and typically is up to Rs 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs 180K per month) once you clear our screening process Shape the future of AI with Soul AI!

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking a skilled Market Research Analyst with a minimum of 2 years of experience to join us as a freelancer and provide actionable insights to support data-driven marketing strategies and business decisions Key Responsibilities: Conduct primary and secondary research to gather market data and trends Analyze customer behavior, competitor strategies, and market dynamics Prepare reports and presentations with insights and recommendations for the team Assist in identifying new market opportunities and areas for growth Required Qualifications: 2+ years of experience in market research and analysis Strong knowledge of data collection methods and analysis tools (e g , SPSS, Excel) Excellent analytical, communication, and presentation skills Why Join Us Competitive pay (‚1200/hour) Flexible hours Remote opportunity NOTEPay will vary by project and typically is up to Rs 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs 180K per month) once you clear our screening process Shape the future of AI with Soul AI!

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking a skilled Market Research Analyst with a minimum of 2 years of experience to join us as a freelancer and provide actionable insights to support data-driven marketing strategies and business decisions Key Responsibilities: Conduct primary and secondary research to gather market data and trends Analyze customer behavior, competitor strategies, and market dynamics Prepare reports and presentations with insights and recommendations for the team Assist in identifying new market opportunities and areas for growth Required Qualifications: 2+ years of experience in market research and analysis Strong knowledge of data collection methods and analysis tools (e g , SPSS, Excel) Excellent analytical, communication, and presentation skills Why Join Us Competitive pay (‚1200/hour) Flexible hours Remote opportunity NOTEPay will vary by project and typically is up to Rs 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs 180K per month) once you clear our screening process Shape the future of AI with Soul AI!

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking a skilled Market Research Analyst with a minimum of 2 years of experience to join us as a freelancer and provide actionable insights to support data-driven marketing strategies and business decisions Key Responsibilities: Conduct primary and secondary research to gather market data and trends Analyze customer behavior, competitor strategies, and market dynamics Prepare reports and presentations with insights and recommendations for the team Assist in identifying new market opportunities and areas for growth Required Qualifications: 2+ years of experience in market research and analysis Strong knowledge of data collection methods and analysis tools (e g , SPSS, Excel) Excellent analytical, communication, and presentation skills Why Join Us Competitive pay (‚1200/hour) Flexible hours Remote opportunity NOTEPay will vary by project and typically is up to Rs 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs 180K per month) once you clear our screening process Shape the future of AI with Soul AI!

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking a skilled Market Research Analyst with a minimum of 2 years of experience to join us as a freelancer and provide actionable insights to support data-driven marketing strategies and business decisions Key Responsibilities: Conduct primary and secondary research to gather market data and trends Analyze customer behavior, competitor strategies, and market dynamics Prepare reports and presentations with insights and recommendations for the team Assist in identifying new market opportunities and areas for growth Required Qualifications: 2+ years of experience in market research and analysis Strong knowledge of data collection methods and analysis tools (e g , SPSS, Excel) Excellent analytical, communication, and presentation skills Why Join Us Competitive pay (‚1200/hour) Flexible hours Remote opportunity NOTEPay will vary by project and typically is up to Rs 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs 180K per month) once you clear our screening process Shape the future of AI with Soul AI!

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking a skilled Market Research Analyst with a minimum of 2 years of experience to join us as a freelancer and provide actionable insights to support data-driven marketing strategies and business decisions Key Responsibilities: Conduct primary and secondary research to gather market data and trends Analyze customer behavior, competitor strategies, and market dynamics Prepare reports and presentations with insights and recommendations for the team Assist in identifying new market opportunities and areas for growth Required Qualifications: 2+ years of experience in market research and analysis Strong knowledge of data collection methods and analysis tools (e g , SPSS, Excel) Excellent analytical, communication, and presentation skills Why Join Us Competitive pay (‚1200/hour) Flexible hours Remote opportunity NOTEPay will vary by project and typically is up to Rs 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs 180K per month) once you clear our screening process Shape the future of AI with Soul AI!

Zydus Healthcare is looking for Executive/ Sr. Execitive- QC to join our dynamic team and embark on a rewarding career journey A Quality Control Professional is responsible for ensuring that products or services meet established quality standards and customer expectations. They play a vital role in maintaining and improving the quality of products, processes, and systems within an organization. The specific job duties may vary depending on the industry and organization, but here are some common responsibilities:Quality Assurance: Develop and implement quality control procedures and policies to ensure compliance with regulatory requirements and industry standards. This involves creating quality control plans, conducting risk assessments, and establishing quality metrics.Inspection and Testing: Perform inspections, tests, and sampling procedures to assess product quality and identify any deviations from standards. This may include visual inspections, measurements, functional testing, and other specialized techniques. They analyze test data and generate reports to document findings.Process Improvement: Collaborate with cross-functional teams to identify areas for process improvement. They participate in root cause analysis investigations to determine the underlying causes of quality issues and implement corrective actions to prevent reoccurrence.Documentation and Reporting: Maintain accurate and detailed records of quality control activities, test results, and other relevant documentation. They prepare quality reports, summaries, and presentations to communicate findings to management and stakeholders.Training and Compliance: Provide training and guidance to employees on quality control procedures, standards, and best practices. They ensure that employees understand and follow quality guidelines and regulatory requirements. They also monitor compliance with internal quality policies and external regulations.Supplier Quality Management: Collaborate with suppliers to establish quality requirements and monitor supplier performance. They conduct supplier audits, evaluate incoming materials or components, and address any quality issues with suppliers.Continuous Improvement: Stay updated on industry trends, emerging technologies, and regulatory changes related to quality control. They actively seek opportunities for continuous improvement and implement new methodologies or tools to enhance quality control processes.Skills and Qualifications:Bachelor's degree in a relevant field such as engineering, quality management, or a related discipline. A master's degree may be preferred for higher-level positions.Strong knowledge of quality control principles, methodologies, and tools (e.g., Six Sigma, Statistical Process Control, Lean Manufacturing).Familiarity with quality management systems (e.g., ISO 9001) and regulatory requirements applicable to the industry.Experience in performing inspections, tests, and data analysis using various quality tools and techniques.Excellent attention to detail and analytical skills to identify trends, patterns, and quality issues.Strong problem-solving and decision-making abilities to address quality concerns and implement effective solutions.Effective communication skills to collaborate with cross-functional teams, suppliers, and customers.Proficiency in using quality control software, data analysis tools, and computer applications.Knowledge of relevant industry standards and best practices.Familiarity with auditing principles and practices.Ability to work independently and prioritize tasks in a fast-paced environment. Qualification: - M.Sc. (Biotechnology/ Biochemistry/Microbiology) Experience- 3-7years of hands-on experience in relevant field, preferred pharma background

Skill required: Marketing Operations - Customer Insight & Marketing Analytics Designation: Business Advisory Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? The Channel Strategy Manager is responsible for defining and executing channel strategies that optimize customer engagement and drive business growth within the required segment. This role focuses on developing innovative go-to-market approaches, managing partnerships, and aligning channel activities with overarching business objectives. By fostering collaboration with internal and external stakeholders, the Channel Strategy Manager ensures seamless integration of strategies across the value chain, delivering a consistent and impactful customer experience. What are we looking for? Strong understanding of channel management principles. Proficiency in data analysis tools and CRM systems to assess channel performance. Knowledge of digital marketing and e-commerce platforms. Project management skills, with experience in executing cross-functional initiatives. Financial acumen to manage budgets and evaluate channel ROI. Strategic thinking and problem-solving abilities. Excellent communication and negotiation skills. Strong interpersonal skills to build and maintain effective partnerships. Ability to adapt and respond to a dynamic market environment. Leadership skills with a focus on collaboration and influence 5-7 years of experience in channel strategy, sales, or marketing Proven track record of developing and implementing successful channel strategies. Experience in managing partnerships and cross-functional teams. Familiarity with digital and traditional channel dynamics. Roles and Responsibilities: Develop and implement a robust channel strategy tailored to the market, aligning with business goals and customer needs. Build and maintain relationships with key partners, distributors, and intermediaries to ensure successful execution of channel strategies. Conduct market research and analysis to identify trends, opportunities, and competitive dynamics that inform channel strategy. Establish and track key performance indicators (KPIs) to evaluate the effectiveness of channel strategies and initiatives. Work closely with sales, marketing, and product teams to ensure alignment and consistency across all channel activities. Design and implement strategies that enhance the end-to-end customer journey within the ecosystem. Allocate resources effectively across channels to maximize impact and return on investment. Identify and implement innovative approaches to channel activation and management, leveraging digital tools and platforms Qualifications Any Graduation

Assisting in valuation onboarding of new private equity investments Assisting with updating valuation templates periodically, utilizing discounted cash flow (DCF), performance multiple (PM) and other valuation methodologies Compiling documentation to support actual financial and company comparable assumptions used in the valuation models Participating in discussions with and provide deliverables to various constituents, including Investment Team, Senior Management and External Auditors Assessing value creation drivers that have contributed to changes in valuations over the holding period of each investment Assisting in improving reporting processes, procedures and analytics Participating in various group initiatives and projects Requirements: Master’s degree in finance, Accounting, or a related field. Minimum of 6 years of experience in valuations. Strong proficiency in financial modeling, valuation analysis, and data analysis. Demonstrated expertise in financial statement analysis, and interpreting complex financial data. Excellent analytical and problem-solving skills, with attention to detail. Candidates with a CFA designation or those actively pursuing the CFA program will be given preference. Advanced proficiency in MS Excel, Bloomberg, and other relevant financial analysis tools. Strong written and verbal communication skills for presenting complex financial information effectively. Proven ability to work independently and collaboratively in a fast-paced, dynamic environment.

Skill required: Incentive Compensation & Trade Promotion - Pricing & Profitability Optimization Designation: Sales Prog & Incentive Mgmt Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Transforming sales to become a future-ready and digital B2B revenue engine.The team helps assess, design, build and implement best practices on process, organization, and technology to create, execute, and run a collaborative sales and support roles.A set of techniques and processes that support defining a pricing strategy, creating a pricing model, and ensuring differentiated value for the opportunity pursuit. What are we looking for "Proven experience in sales operations within a BPO environment, ideally with expertise in managing large sales teams and complex data sets. Knowledge of industry-specific sales processes and best practices Required Skills and Qualifications:Strong attention to detail and accuracy in data entryExcellent communication and interpersonal skills to interact with customers and internal teamsAnalytical Skills: Strong analytical mindset with ability to analyse data from various reports and provide insightsShould have experience working with large datasetsSales Knowledge:Understanding of sales processes, key performance indicators (KPIs), and sales methodologies. Compensation Implementation:Expertise in implementing and structuring sales incentive plans, including commission structures and performance-based rewards. Communication Skills: Excellent written and verbal communication skills to effectively convey complex information to various stakeholders. Technical Proficiency:Proficient in data analysis tools, CRM systems, and sales incentive management software. Project Management:Ability to manage multiple projects simultaneously, meet deadlines, and prioritize tasks. " - Ability to establish strong client relationship- Ability to manage multiple stakeholders- Adaptable and flexible- Collaboration and interpersonal skills- Problem-solving skills Roles and Responsibilities: "A Sales Incentives Management Specialist is responsible for Implementing, and administring sales incentive programs, and accurately calculate commissions by analyzing sales data, collaborating with client, and monitoring program effectiveness. Key responsibilities:Incentive Planning:Work with the Client Sales Leadership team to define the objectives, incentive plans and strategy.Incentive Plan Implementation:Implement the client provided plan and maintain sales incentive plans, including metrics, targets, payout structures, and performance thresholds, considering different sales channels and product lines. Data Analysis:Collect, analyze sales data to assess sales performance against targets, identify trends, and evaluate the effectiveness of existing incentive plans. Sales Alignment:Collaborate with client to ensure incentive plans are aligned with overall business goals and sales strategies. Communication and Training:Clearly communicate incentive plan details to sales teams, provide training on program mechanics, and address any questions or concerns. Performance Monitoring:Track sales performance against incentive plan metrics and publish.Compliance Management:Ensure all incentive programs comply with company policies, regulatory requirements, and legal standards as shared by the clientSystem Administration:Manage the sales incentive calculation system, ensuring accurate data input and timely commission payouts. Stakeholder Management:Collaborate with cross-functional teams including finance, HR, and sales operations to ensure smooth implementation and administration of incentive programs. " Qualification Any Graduation

Skill required: Incentive Compensation & Trade Promotion - Pricing & Profitability Optimization Designation: Sales Prog & Incentive Mgmt Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Transforming sales to become a future-ready and digital B2B revenue engine.The team helps assess, design, build and implement best practices on process, organization, and technology to create, execute, and run a collaborative sales and support roles.A set of techniques and processes that support defining a pricing strategy, creating a pricing model, and ensuring differentiated value for the opportunity pursuit. What are we looking for "Proven experience in sales operations within a BPO environment, ideally with expertise in managing large sales teams and complex data sets. Knowledge of industry-specific sales processes and best practices Required Skills and Qualifications:Strong attention to detail and accuracy in data entryExcellent communication and interpersonal skills to interact with customers and internal teamsAnalytical Skills: Strong analytical mindset with ability to analyse data from various reports and provide insightsShould have experience working with large datasetsSales Knowledge:Understanding of sales processes, key performance indicators (KPIs), and sales methodologies. Compensation Implementation:Expertise in implementing and structuring sales incentive plans, including commission structures and performance-based rewards. Communication Skills: Excellent written and verbal communication skills to effectively convey complex information to various stakeholders. Technical Proficiency:Proficient in data analysis tools, CRM systems, and sales incentive management software. Project Management:Ability to manage multiple projects simultaneously, meet deadlines, and prioritize tasks. ""- Ability to establish strong client relationship- Ability to manage multiple stakeholders- Adaptable and flexible- Collaboration and interpersonal skills- Problem-solving skills" Roles and Responsibilities: "A Sales Incentives Management Specialist is responsible for Implementing, and administring sales incentive programs, and accurately calculate commissions by analyzing sales data, collaborating with client, and monitoring program effectiveness. Key responsibilities:Incentive Plan Implementation:Implement the client provided plan and maintain sales incentive plans, including metrics, targets, payout structures, and performance thresholds, considering different sales channels and product lines. Data Analysis:Collect, analyze sales data to assess sales performance against targets, identify trends, and evaluate the effectiveness of existing incentive plans. Sales Alignment:Collaborate with client to ensure incentive plans are aligned with overall business goals and sales strategies. Communication and Training:Clearly communicate incentive plan details to sales teams, provide training on program mechanics, and address any questions or concerns. Performance Monitoring:Track sales performance against incentive plan metrics and publish.Compliance Management:Ensure all incentive programs comply with company policies, regulatory requirements, and legal standards as shared by the clientSystem Administration:Manage the sales incentive calculation system, ensuring accurate data input and timely commission payouts. Stakeholder Management:Collaborate with cross-functional teams including finance, HR, and sales operations to ensure smooth implementation and administration of incentive programs. " Qualification Any Graduation

Skill required: Incentive Compensation & Trade Promotion - Pricing & Profitability Optimization Designation: Sales Prog & Incentive Mgmt Associate Qualifications: Any Graduation Years of Experience: 1 to 3 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Transforming sales to become a future-ready and digital B2B revenue engine.The team helps assess, design, build and implement best practices on process, organization, and technology to create, execute, and run a collaborative sales and support roles.A set of techniques and processes that support defining a pricing strategy, creating a pricing model, and ensuring differentiated value for the opportunity pursuit. What are we looking for "Proven experience in sales operations within a BPO environment, ideally with expertise in managing large sales teams and complex data sets. Knowledge of industry-specific sales processes and best practices Required Skills and Qualifications:Strong attention to detail and accuracy in data entryExcellent communication and interpersonal skills to interact with customers and internal teamsAnalytical Skills: Strong analytical mindset with ability to analyse data from various reports and provide insightsShould have experience working with large datasetsSales Knowledge:Understanding of sales processes, key performance indicators (KPIs), and sales methodologies. Compensation Implementation:Expertise in implementing and structuring sales incentive plans, including commission structures and performance-based rewards. Communication Skills: Excellent written and verbal communication skills to effectively convey complex information to various stakeholders. Technical Proficiency:Proficient in data analysis tools, CRM systems, and sales incentive management software. Project Management:Ability to manage multiple projects simultaneously, meet deadlines, and prioritize tasks. ""- Ability to establish strong client relationship- Ability to manage multiple stakeholders- Adaptable and flexible- Collaboration and interpersonal skills- Problem-solving skills" Roles and Responsibilities: "A Sales Incentives Management Specialist is responsible for Implementing, and administring sales incentive programs, and accurately calculate commissions by analyzing sales data, collaborating with client, and monitoring program effectiveness. Key responsibilities:Incentive Plan Implementation:Implement the client provided plan and maintain sales incentive plans, including metrics, targets, payout structures, and performance thresholds, considering different sales channels and product lines. Data Analysis:Collect, analyze sales data to assess sales performance against targets, identify trends, and evaluate the effectiveness of existing incentive plans. Sales Alignment:Collaborate with client to ensure incentive plans are aligned with overall business goals and sales strategies. Communication and Training:Clearly communicate incentive plan details to sales teams, provide training on program mechanics, and address any questions or concerns. Performance Monitoring:Track sales performance against incentive plan metrics and publish.Compliance Management:Ensure all incentive programs comply with company policies, regulatory requirements, and legal standards as shared by the clientSystem Administration:Manage the sales incentive calculation system, ensuring accurate data input and timely commission payouts. Stakeholder Management:Collaborate with cross-functional teams including finance, HR, and sales operations to ensure smooth implementation and administration of incentive programs. " Qualification Any Graduation