3825 Data Quality Jobs - Page 37

Skill required: Delivery - Sales Reporting Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture 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. Visit us at www.accenture.com What would you do Within Operations, our Sales Operations Data Analytics, Reporting & Insights team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.As the Team Lead, and a key member of the Sales Reporting, you will lead a cross-functional team of Data Analytics, Visualization, and Data Modeling experts working within the Sales Operations space. The ideal candidate brings a strong background in business intelligence, reporting, visualization and advanced analytics in sales domain. The candidate will have a proven track record in project delivery, stakeholder management, and team leadership. The candidate will adeptly balance hands-on reporting and analytics tasks, and team management. What are we looking for Sales Operations Functional Expertise:Deep understanding of end-to-end sales lifecycle processes including Sales Support, Pricing & Quoting, Bid & Proposal Management, Contract Lifecycle, Order Management, and Incentives. Sales Transformation:Proven experience in leading or supporting large-scale sales operations transformation projectspreferably for external clientswith a focus on process standardization, consolidation, and operating model redesign. Sales Analytics & Insights Sales Reporting and Visualization:Strong skills in Sales, data analysis, business intelligence, and visualization. Ability to generate actionable insights and drive decision-making. Stakeholder Management Consulting & Communication Skills Leadership & Team Development Innovative & Future-Focused Roles and Responsibilities: Ensure high-quality delivery of reports, dashboards and data models. Ensure data quality, governance, and secure access across platforms Author, review and validate dashboards, visual designs, and model outcomes. Encourage adoption of best practices in code management, versioning, and documentation. Manage, and mentor a high-performing team of SQL, Python, Power Platform, Power BI (or similar platforms) developers, and Data Analytics practitioners. Proactively lead work allocation, delivery timelines, data quality, review metrics and KPIs. Manage multiple projects and tasks while maintaining high attention to detail Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Collaborate with senior business leaders, stakeholders and global teams to define problem statements, solutions, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Strong communication of data analytics, and visualizations through effective storytelling. Ensure proactive communication of status, updates, asks, achievements, and challenges. Qualification Any Graduation

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : PySpark, Microsoft Azure Data ServicesMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for creating efficient and scalable applications using the Databricks Unified Data Analytics Platform. Your typical day will involve collaborating with the team to understand business requirements, designing and implementing application solutions, and ensuring the applications meet quality standards and performance expectations. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Design, build, and configure applications using the Databricks Unified Data Analytics Platform.- Collaborate with the team to understand business requirements and translate them into technical solutions.- Ensure the applications meet quality standards and performance expectations.- Conduct code reviews and provide feedback to improve code quality and maintainability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with PySpark, Microsoft Azure Data Services.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Kubernetes Good to have skills : Microsoft Azure Container Infrastructure, DevOpsMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Infra Tech Support Practitioner, you will provide ongoing technical support and maintenance for production and development systems and software products. You will be responsible for configuring services on various platforms and implementing technology at the operating system-level. Your role will involve troubleshooting at both basic and intermediate levels, ensuring smooth operations and resolving any issues that arise. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Ensure smooth operations and maintenance of production and development systems.- Configure services on various platforms.- Implement technology at the operating system-level.- Troubleshoot issues at both basic and intermediate levels. Professional & Technical Skills: - Must To Have Skills: Proficiency in Kubernetes.- Good To Have Skills: Experience with DevOps, Microsoft Azure Container Infrastructure.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 5 years of experience in Kubernetes.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Informatica Data Quality Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : Graduate Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your day will involve collaborating with teams to develop solutions and ensure applications align with business needs. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead and mentor junior professionals- Conduct regular team meetings to discuss progress and challenges- Stay updated on industry trends and technologies to enhance team performance Professional & Technical Skills: - Must To Have Skills: Proficiency in Informatica Data Quality- Strong understanding of data quality management processes- Experience in data profiling and data cleansing techniques- Knowledge of ETL processes and data integration- Hands-on experience in developing data quality rules and mappings Additional Information:- The candidate should have a minimum of 5 years of experience in Informatica Data Quality- This position is based at our Bengaluru office- A Graduate degree is required Qualification Graduate

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Data Analytics Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : Application Lead Project Role :Application Lead Project Role Description :Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills :Retail, CPG, Supply chain, marketing data Analytics Good to have skills :NAMinimum 7.5 year(s) of experience is required Educational Qualification :Application Lead Summary :Candidate needs to have an outside-in view of how Retail/Consumer goods services industry is evolving to support clients in their transformation journey .As an Application Lead who is experienced in Retail and Consumer goods Data Analytics , you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the entire application development process and ensuring its successful implementation. Your role will involve collaborating with cross-functional teams, making key decisions, and providing solutions to problems. With your expertise in Data Retail and Consumer Goods Analytics, you will contribute to the development of innovative and efficient applications. Roles & Responsibilities:- Expected to be proficient in either of Retail, CPG, Supply chain, marketing data Analytics and or data engineering. Expected to be an SME, collaborate, and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute to key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the effort to design, build, and configure applications.- Act as the primary point of contact for application-related matters.- Oversee the entire application development process.- Ensure successful implementation of applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Retail and Consumer goods and services Analytics.- Strong understanding of statistical analysis and machine learning algorithms.-Extracting, cleaning, and manipulating large datasets from various sources required for delivery- Utilizing advanced data processing techniques and data visualization tools to present the reporting in a clear and compelling manner- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Retail and Consumer goods and services Data Analytics.- This position is based at our Pune office.- An Application Lead education is required. Qualification Application Lead

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google BigQuery Good to have skills : Microsoft SQL Server, Google Cloud Data ServicesMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Develop and maintain data pipelines.- Ensure data quality throughout the data lifecycle.- Implement ETL processes for data migration and deployment.- Collaborate with cross-functional teams to understand data requirements.- Optimize data storage and retrieval processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery.- Strong understanding of data architecture principles.- Experience with cloud-based data services.- Knowledge of SQL and database management systems.- Hands-on experience with data modeling and schema design. Additional Information:- The candidate should have a minimum of 3 years of experience in Google BigQuery.- This position is based at our Pune office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Must have skills : Informatica MDM Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will be responsible for leading the application development team and managing the overall project. You will collaborate with multiple teams, make key decisions, and provide solutions to problems. Your typical day will involve overseeing the team's performance, engaging with various stakeholders, and contributing to important decisions. You will also be expected to be a subject matter expert and provide guidance to your team. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development team- Ensure timely delivery of projects- Provide technical guidance and mentorship to team members Professional & Technical Skills: - Must To Have Skills: Proficiency in Informatica MDM- Experience with data integration and data management- Strong understanding of data modeling and data quality- Hands-on experience with Informatica MDM toolset- Experience in designing and implementing MDM solutions Additional Information:- The candidate should have a minimum of 5 years of experience in Informatica MDM- This position is based at our Pune office- A 15 years full time education is required Qualification 15 years full time education

Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also participate in discussions to ensure that the data models align with the overall data strategy and architecture, facilitating seamless data integration and accessibility across the organization. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality data solutions that meet the evolving needs of the business. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Mentor junior team members to enhance their skills and knowledge in data modeling. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data modeling techniques and best practices.- Experience with data integration and ETL processes.- Familiarity with data governance and data quality frameworks.- Ability to work with various database technologies and data storage solutions. Additional Information:- The candidate should have minimum 12 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Ahmedabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Mentor junior professionals in best practices for data engineering.- Continuously evaluate and improve data processes to enhance efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data pipeline architecture and design.- Experience with ETL processes and data integration techniques.- Familiarity with data quality frameworks and data governance practices.- Knowledge of cloud platforms and services related to data analytics. Additional Information:- The candidate should have minimum 12 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : IBM z/OS Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in IBM z/OS- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in IBM z/OS- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Business Analyst Project Role Description : Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize information. Must have skills : Core Banking Good to have skills : Business AnalysisMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Analyst, you will analyze an organization and design its processes and systems, assessing the business model and its integration with technology. You will assess the current state, identify customer requirements, and define the future state and/or business solution. Research, gather, and synthesize information. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Develop business strategies and provide recommendations for process improvements.- Collaborate with stakeholders to gather and analyze business requirements.- Create detailed documentation of business processes and system requirements.- Conduct gap analysis and propose solutions to enhance business operations.- Assist in the implementation and testing of new systems or processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Core Banking.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Core Banking.- This position is based at our Pune office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Good To Have Skills: Experience with data modeling and database design.- Strong understanding of ETL processes and data integration techniques.- Familiarity with cloud platforms such as AWS or Azure.- Experience in performance tuning and optimization of data queries. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Template Job Title - Decision Science Practitioner Analyst S&C GN Management Level :Senior Analyst Location:Bangalore/ Kolkata Must have skills: Collibra Data Quality - data profiling, anomaly detection, reconciliation, data validation, Python, SQL Good to have skills: PySpark, Kubernetes, Docker, Git Job Summary : We are seeking a highly skilled and motivated Data Science cum Data Engineer Senior Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech , Enterprise Tech , and Semiconductors . This role combines hands-on technical expertise , and client delivery management to execute cutting-edge projects in data science & data engineering Key Responsibilities Data Science and Engineering Implement and manage end to end Data Quality frameworks using Collibra Data Quality (CDQ). This includes requirement gathering from the client, code development on SQL, Unit testing, Client demos, User acceptance testing, documentation etc. Work extensively with business users, data analysts, and other stakeholders to understand data quality requirements and business use cases. Developdata validation, profiling, anomaly detection, and reconciliation processes. WriteSQL queries for simple to complex data quality checks . Python, and PySpark scripts to support data transformation and data ingestion. Deploy and manage solutions on Kubernetes workloads for scalable execution. Maintain comprehensivetechnical documentation of Data Quality processes and implemented solutions. Work in an Agile environment , leveraging Jira for sprint planning and task management. Troubleshoot data quality issues and collaborate with engineering teams for resolution. Provide insights forcontinuous improvement in data governance and quality processes. Build and manage robust data pipelines using Pyspark and Python to read and write from databases such as Vertica and PostgreSQL. Optimize and maintain existing pipelines for performance and reliability. Build custom solutions using Python, including FastAPI applications and plugins for Collibra Data Quality. Oversee the infrastructure of the Collibra application in Kubernetes environment, perform upgrades when required, and troubleshoot and resolve any Kubernetes issues that may affect the application's operation. Deploy and manage solutions, optimize resources for deployments in Kubernetes, including writing YAML files and managing configurations Build and deploy Docker images for various use cases, ensuring efficient and reusable solutions. Collaboration and Training Communicate effectively with stakeholders to align technical implementations with business objectives. Provide training and guidance to stakeholders on Collibra Data Quality usage and help them build and implement data quality rules. Version Control and Documentation Use Git for version control to manage code and collaborate effectively. Document all implementations, including data quality workflows, data pipelines, and deployment processes, ensuring easy reference and knowledge sharing. Database and Data Model Optimization Design and optimize data models for efficient storage and retrieval. Required Qualifications Experience:4+ years in data science Education:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field Industry Knowledge:Preferred experience in Consumer Tech, Enterprise Tech, or Semiconductors but not mandatory Technical Skills Programming: Proficiency in Python , SQL for data analysis and transformation. Tools :Hands-on experience with Collibra Data Quality (CDQ) or similar Data Quality tools (e.g., Informatica DQ, Talend, Great Expectations, Ataccama, etc.). Experience working with Kubernetes workloads. Experience with Agile methodologies and task tracking using Jira. Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication, stakeholder management & requirement gathering capabilities. Additional Information: - The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients - This position is based at our Bengaluru (preferred) and Kolkata office. About Our Company | AccentureQualification Experience: 4+ years in data science Educational Qualification:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for utilizing your expertise in Databricks Unified Data Analytics Platform to develop efficient and effective applications. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Collaborate with cross-functional teams to gather and analyze business requirements.- Design, develop, and test applications using Databricks Unified Data Analytics Platform.- Troubleshoot and debug applications to ensure optimal performance and functionality.- Implement security and data protection measures.- Document technical specifications and user manuals for reference and reporting purposes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data engineering concepts and techniques.- Experience with data integration and ETL processes.- Knowledge of programming languages such as Python or Scala.- Familiarity with cloud platforms like AWS or Azure.- Good To Have Skills: Experience with big data technologies such as Hadoop or Spark.- Understanding of data governance and data quality principles.- Knowledge of SQL and database management systems. Additional Information:- The candidate should have a minimum of 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, participate in team meetings, and contribute to the overall success of projects by leveraging your expertise in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of database design principles and data architecture.- Experience with data integration and ETL processes.- Familiarity with data governance and data quality frameworks.- Ability to analyze and optimize data models for performance. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Skill required: Delivery - Sales Reporting Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture 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. Visit us at www.accenture.com What would you do Within Operations, our Sales Operations, Reporting & Insights team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.As a senior and a key member of the Sales Operations - Sales Reporting & Insights team, you will work in a cross-functional team of Reporting and Insights experts working within the Sales Operations space. The ideal candidate brings a strong background in business intelligence, reporting, insights and advanced analytics in sales domain. The candidate will have a proven track record in sales reporting, dashboards, insights project delivery, stakeholder communication, and guiding less experienced team members where necessary. What are we looking for Sales Operations & Functional Expertise:Deep understanding of end-to-end sales lifecycle processes including Sales Support, Pricing & Quoting, Bid & Proposal Management, Contract Lifecycle, Order Management, and Incentives. Sales Transformation Experience:Proven experience in leading or supporting large-scale sales operations transformation projectspreferably for external clientswith a focus on process standardization, consolidation, and operating model redesign. Sales Reporting and Visualization Sales Analytics and Insights Experience engaging with senior client stakeholders Strong Communication & Written Skills Roles and Responsibilities: Ensure high-quality delivery of reports, dashboards and data models. Ensure data quality, governance, and secure access across platforms Author, review and validate dashboards, visual designs, and model outcomes. Encourage adoption of best practices in code management, versioning, and documentation. Manage, and mentor a high-performing team of SQL, Python, Power Platform, Power BI (or similar platforms) developers, and Data Analytics practitioners. Proactively lead work allocation, delivery timelines, data quality, review metrics and KPIs. Manage multiple projects and tasks while maintaining high attention to detail Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Collaborate with senior business leaders, stakeholders and global teams to define problem statements, solutions, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Strong communication of data analytics, and visualizations through effective storytelling. Ensure proactive communication of status, updates, asks, achievements, and challenges. Qualification Any Graduation

Skill required: Delivery - Sales Reporting Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture 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. Visit us at www.accenture.com What would you do Within Operations, our Sales Operations Data Analytics, Reporting & Insights team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.As the Team Lead, and a key member of the Sales Reporting, you will lead a cross-functional team of Data Analytics, Visualization, and Data Modeling experts working within the Sales Operations space. The ideal candidate brings a strong background in business intelligence, reporting, visualization and advanced analytics in sales domain. The candidate will have a proven track record in project delivery, stakeholder management, and team leadership. The candidate will adeptly balance hands-on reporting and analytics tasks, and team management. What are we looking for Sales Operations Functional Expertise:Deep understanding of end-to-end sales lifecycle processes including Sales Support, Pricing & Quoting, Bid & Proposal Management, Contract Lifecycle, Order Management, and Incentives. Sales Transformation:Proven experience in leading or supporting large-scale sales operations transformation projectspreferably for external clientswith a focus on process standardization, consolidation, and operating model redesign. Sales Analytics & Insights Sales Reporting and Visualization:Strong skills in Sales, data analysis, business intelligence, and visualization. Ability to generate actionable insights and drive decision-making. Stakeholder Management Consulting & Communication Skills Problem Solving skills Innovative & Future-Focused Roles and Responsibilities: Ensure high-quality delivery of reports, dashboards and data models. Ensure data quality, governance, and secure access across platforms Author, review and validate dashboards, visual designs, and model outcomes. Encourage adoption of best practices in code management, versioning, and documentation. Manage, and mentor a high-performing team of SQL, Python, Power Platform, Power BI (or similar platforms) developers, and Data Analytics practitioners. Proactively lead work allocation, delivery timelines, data quality, review metrics and KPIs. Manage multiple projects and tasks while maintaining high attention to detail Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Collaborate with senior business leaders, stakeholders and global teams to define problem statements, solutions, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Strong communication of data analytics, and visualizations through effective storytelling. Ensure proactive communication of status, updates, asks, achievements, and challenges. Qualification Any Graduation

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Analytics Good to have skills : SAP technical upgrade to HANA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring the smooth functioning of applications and their integration with other systems. Your typical day will involve collaborating with cross-functional teams, analyzing user requirements, designing application solutions, and implementing them to enhance business processes and improve efficiency. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Collaborate with cross-functional teams to analyze user requirements.- Design and develop applications to meet business process and application requirements.- Integrate applications with other systems to ensure smooth functioning.- Troubleshoot and debug applications to identify and resolve issues.- Perform code reviews and ensure adherence to coding standards.- Stay updated with emerging technologies and industry trends.- Provide technical guidance and support to junior team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Data Analytics.- This position is based at our Gurugram office.- A 15 years full-time education is required. Qualification 15 years full time education

Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. In this role, you will balance your focus on business results by offering options and finding solutions to help our customers with issues. Job Summary As a Payment Lifecycle Manager II within JPMorgan Chase, you will play a crucial role in upholding the companys strength and resilience. Cash Asset Management are a firmwide utility that provides End- to-End Cash Management that enables treasury to effectively manage the firms balance sheet. The global team delivers operational and strategic support to Treasury CIO. Including cash position projections, predictions, and post cash movement analysis on managed accounts. Automation and enhancement of the cash movement processes and remediation of the existing cash Nostro landscape, to improve account data quality, strengthen controls and address lost revenues, increased costs, and operational inefficiencies. Job Responsibilities Work with the Cash Asset Management Operations Teams and Service Owners to achieve all assigned objectives, in support of our key values, ensuring the right cash is in the right place, at the right time, with maximum transparency. Work with stakeholders to onboard accounts to the Registry and Cash Services within agreed SLAs and Standards. Use data to drive decision making, prioritization, and continuous improvement for CAM. Own and deliver related priority initiatives in line with Cash Asset Management strategic objectives. Provide accurate, appropriate, and timely progress reporting through frequent communication and management of stakeholders, highlighting risks and issues. Required Qualifications, Skills and Capabilities Strong interpersonal skills, confident in both verbal and written communication at all levels, Influencing action and change Ability to challenge the Status Quo and question why a service is being provided or provided in a particular manner Excellent prioritisation, planning, organisational and time management skills, with the ability to handle multiple priorities and to act with own initiative Execution focused and risk aware, a problem solver who can articulate clear and workable solutions Takes responsibility and ownership for issues and follows through to resolution with timely and relevant communications Promotes an inclusive work environment, respects individuals at every level and leverages an agile and flexible style Demonstrated communication and diplomacy skills to work cross-organizationally at all levels to influence others, drive results/change and implement projects/processes Strong data centric and problem-solving mindset Preferred Qualifications, Skills and Capabilities Knowledgeable of banking functions, specifically, in one or more of the following areas Finance, Network, Reconciliations, Cash Management, Risk and Controls Process design. Understand the strategic objective and work to a pre-agreed framework Builds/promotes a client/customer centered organization Experience of Industrialisation of new processes Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. In this role, you will balance your focus on business results by offering options and finding solutions to help our customers with issues. Job Summary As a Payment Lifecycle Manager II within JPMorgan Chase, you will play a crucial role in upholding the companys strength and resilience. Cash Asset Management are a firmwide utility that provides End- to-End Cash Management that enables treasury to effectively manage the firms balance sheet. The global team delivers operational and strategic support to Treasury CIO. Including cash position projections, predictions, and post cash movement analysis on managed accounts. Automation and enhancement of the cash movement processes and remediation of the existing cash Nostro landscape, to improve account data quality, strengthen controls and address lost revenues, increased costs, and operational inefficiencies. Job Responsibilities Work with the Cash Asset Management Operations Teams and Service Owners to achieve all assigned objectives, in support of our key values, ensuring the right cash is in the right place, at the right time, with maximum transparency. Work with stakeholders to onboard accounts to the Registry and Cash Services within agreed SLAs and Standards. Use data to drive decision making, prioritization, and continuous improvement for CAM. Own and deliver related priority initiatives in line with Cash Asset Management strategic objectives. Provide accurate, appropriate, and timely progress reporting through frequent communication and management of stakeholders, highlighting risks and issues. Required Qualifications, Skills and Capabilities Strong interpersonal skills, confident in both verbal and written communication at all levels, Influencing action and change Ability to challenge the Status Quo and question why a service is being provided or provided in a particular manner Excellent prioritisation, planning, organisational and time management skills, with the ability to handle multiple priorities and to act with own initiative Execution focused and risk aware, a problem solver who can articulate clear and workable solutions Takes responsibility and ownership for issues and follows through to resolution with timely and relevant communications Promotes an inclusive work environment, respects individuals at every level and leverages an agile and flexible style Demonstrated communication and diplomacy skills to work cross-organizationally at all levels to influence others, drive results/change and implement projects/processes Strong data centric and problem-solving mindset Preferred Qualifications, Skills and Capabilities Knowledgeable of banking functions, specifically, in one or more of the following areas Finance, Network, Reconciliations, Cash Management, Risk and Controls Process design. Understand the strategic objective and work to a pre-agreed framework Builds/promotes a client/customer centered organization Experience of Industrialisation of new processes

About the role QSC- Quality Supply Chain is a core function of Haleon manufacturing and supply chain. Under QSC there are 24 manufacturing sites integrated within BUs and regions which allows far more flexibility and faster response to local needs. QSC HQ team supports the Global Quality, Category & Technical, EHS & Engineering, Strategy Leadership Teams and have global P&L ownership for entire QSC central functions. Role of QSC HQ Team is critically important in supporting large-scale global innovation, technical and digital activities, and other opportunities to leverage scale where cross BU decision making is required. It will also set the standards and build capability in quality, health, safety and wellbeing, engineering, and manufacturing excellence, and drive longer term strategy. MUST HAVES Cost Accounting/ Chartered Accountant or similar Analyse the Data and create reports and Dashboard, Check/analyse Data. Reconcile and Validate the Data The QSC Senior Finance Manager Role is to provide Financial & System support to the QSC HQ team and ensure the Data quality & system compliance. This role provides key financials, analytical support and reporting responsibilities to ensure smooth closing of the financial books. Scope includes accounting, analysis and reporting as well as finance governance of ad-hoc projects (Business cases, Capital project, etc.) Global QSC HQ team is composed of team members spread across the globe, it is therefore spread between many different legal entities and cost centres resulting in crucial alignment with finance & non-finance stakeholders across the globe. This role has key elements to empower senior finance team and business leaders for decision making on P&L, Cashflow and BS by creating reporting dashboards and ensuring quality analytics and insights into the financial numbers. Reporting and updates of non-Core cost (OE & NCI) link to synergies & Network Key responsibilities Create enhanced QSC Reports & Dashboards to support CSO & CFO QSC Reporting requirements P/L & B/S consolidation monthly for the QSC HQ Team Provide support to aid the review of actuals vs. budget and investigated major variances. COGS & Supply Chain reporting / Main Power-Bi support for the QSC team Provide system support to analysis & review Actuals, CMF, Plan (LRP & ABP) in ONEPLAN, SIERA & Bison and provide monthly, QTD & YTD variances and support commentary, investigate, and fix the reconciling items. Monthly reconciliation of EGOLS from finance reporting system (Bison) and ensure corrections done wherever needed. Follow up with QSC Site Siera & ONEPLAN submission and ensure Siera/ONEPLAN ties to Bison. Support Journal postings in Bison & Data loads from Siera & ONEPLAN. CAPEX reporting and follow ups to ensure timely capitalisation and review of the CAPEX spend. Other Responsibilities for ad hoc requests Qualifications and skills Essential Degree and/or internally recognized accounting or professional finance qualification University degree in business/finance. Working knowledge of multiple systems apps e.g. SAP, Bison, ONEPLAN, SIERA and strong understanding of reporting tools: SAC, Lumira, AO, Power-BI, Qlik Good working knowledge of Power-Bi, and good communication skills to drive the Power-Bi reporting suite. Prior supply chain experience required while Pharma, FMCG, industry experience is preferable. Able to effectively manage time against agreed deadlines for activities for both self & matrix team Advanced financial analysis skills Curious, self-starter, proactive, pragmatic, and dynamic .

Are you interested in creating the future of shippingDo you want to create the operating model to scale an emerging Amazon initiative across India Our team is changing the way we interact with customers around the globe. We are building a new, emerging business in shipping to solve some of the biggest logistical challenges facing not just Amazon, but the entire industry. We need program managers with tactical operations experience, a penchant for process deployment, excellent communication cross functionally, and project tracking with leaders and stakeholders across the organization. Help nurture and grow the DSP program to be preferred choice for service providers across the country and continually delight them with process and product interventions. As the Delivery Service Provider Experience and Engagement lead, you will be responsible for managing the end-to-end experience for our network of delivery service providers (DSPs). This includes understanding current sentiment trends, managing ongoing engagements, and continuously improving the processes and tools to support an optimal delivery experience. Extract, Transform and Load data to build new reporting solutions. Manage the local data infra-structure, as well as work with Global teams to assure data is consistent and accurate. Demonstrated ability to communicate complex technical problems in simple plain stories Automation of manual data processes, including data quality and validation Ability to earn trust among widely differing stakeholders of different roles, responsibilities, geographical location, and, culture. Work closely with the team to understand business challenges and provide data/analysis for better decision making. Learn and understand a broad range of Amazon s data resources and know how, when, and which to use. Design and create the reports and metrics for tracking business and product success. Build self-service reporting platforms, establishing automated processes for large scale data analyzes. Understand and write high quality SQL queries to retrieve and analyze data. Extract, Transform and Load data to build new reporting solutions. Manage the local data infra-structure, as well as work with Global teams to assure data is consistent and accurate. Demonstrated ability to communicate complex technical problems in simple plain stories Automation of manual data processes, including data quality and validation Ability to earn trust among widely differing stakeholders of different roles, responsibilities, geographical location, and, culture. 3+ years of tax, finance or a related analytical field experience 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of business or financial analysis experience Experience defining requirements and using data and metrics to draw business insights Experience making business recommendations and influencing stakeholders Experience with Excel Bachelors degree or equivalent

Roles and Responsibilities Develop and implement data governance frameworks, policies, and procedures to ensure compliance with regulatory requirements. Collaborate with stakeholders to identify business needs and develop solutions that meet those needs while ensuring data quality and integrity. Design and maintain databases using SQL to support reporting, analysis, and decision-making across the organization. Provide expert guidance on data management best practices, including data governance analytics, risk reporting, model risk assessment, and regulatory reporting. Ensure effective communication of complex technical concepts to non-technical stakeholders through clear documentation and presentations. Desired Candidate Profile 5-10 years of experience in a similar role within an investment banking/venture capital/private equity firm or related industry. Strong understanding of Basel II/III regulations and their impact on financial institutions' operations. Proficiency in CAR/CCAr/IFRS9/IFRS17 standards for regulatory reporting purposes. Experience working with large datasets using SQL; ability to design efficient queries for extracting insights from complex datasets.

Email : abhinav@the-hr-solutions.com Hiring Location : Pan India Skill Sets: --------------------------------------------- Experience in EDQ, Integration development preferred. Oracle SQL DB, PL/SQL a must. Knowledge on JDE, PDH, CDH, SQM are preferred. Job Description: ---------------------------------------------------------- Understand data feed from feeder systems and design Interfaces for importing the data Good understanding of the API or Mass data loading features Work with offshore team resources to identify tasks for Application Software configuration and development. Manage offshore resources for tasks completion and status and provide guidance, monitor performance Gather weekly resource status and time expended. Work with onsite Functional Lead, Project Architect and Project Manager. Report status to onsite Program/Project Manager, identify and communicate risks, issues. Represent offshore status and technical activities and discussion in client facing meetings. Must have exemplar, verbal and written detailed communications skills.

Job Title: Data Governance & Quality Specialist Experience: 3-8 Years Location: Bangalore (Hybrid) Domain: Financial Services Notice Period: Immediate to 30 Days What Youll Do: Define and enforce data-governance policies (BCBS 239/GDPR) across credit-risk datasets Design, monitor and report on data-quality KPIs; perform profiling & root-cause analysis in SAS/SQL Collaborate with data stewards, risk teams and auditors to remediate data issues Develop governance artifacts: data-lineage maps, stewardship RACI, council presentations Must Have: 38 yrs in data-governance or data-quality roles (financial services) Advanced SAS for data profiling & reporting; strong SQL skills Hands-on with governance frameworks and regulatory requirements Excellent stakeholder-management and documentation abilities Nice to Have: Experience with Collibra, Informatica or Talend Exposure to credit-risk model inputs (PD/LGD/EAD) Automation via SAS macros or Python scripting If Interested, please share your resume to sunidhi.manhas@portraypeople.com

TalentNeuron is the worlds leading provider of labor market analytics, delivering high-fidelity talent data on an unmatched global scale. TalentNeuron delivers actionable talent insight for every region of the world covering countries that collectively represent more than 90% of the worlds GDP. Through deep investments in machine learning and artificial intelligence, our technology platform ingests and normalizes hundreds of millions of structured and unstructured data points each day, delivering critical talent insights in support of workforce planning, strategic skills analysis, location optimization, DEI tactics, and sourcing strategies for local, regional, and global talent. These insights can be delivered to clients via software as a service, data as a service, or fully custom research efforts from our team of expert data scientists and advisors. Our Core Values Humanity First : We lead with humanity. We foster empathy, kindness, respect, and inclusiveness in all contexts and support one another. Customers at the Core : We engage in meaningful and constant dialogue with clients to deeply understand and anticipate their needs, and consistently deliver exceptional value. We operate with integrity and do what s right for our clients, no matter how difficult. Diverse Minds, One Team : We are curious and seek different perspectives and find common ground, but we act, succeed, fail, and celebrate as one. We openly collaborate, communicate, debate, and compromise across groups. Pioneering Innovation : We take risks, fail fast, and learn from our experiments. We champion change and evolution without fear and inspire a culture where innovation thrives. Resilient Perseverance : We think creatively and pragmatically to find solutions, remove barriers, and overcome obstacles. We are equally accountable for the results of the whole team and for our individual commitments, and we find a way to get things done by embracing a yes we can attitude. Working within the Data Science team, the Specialist will be working on overseeing the research and data driven projects and the development of statistical data and analysis delivered by the TalentNeuron (TN) business intelligence platform. TN is part of the Big Data and advanced analytics revolution and provides insight and analysis on the labor market based on analyzing a unique dataset of multibillion historical labor market records across 40 countries. The candidate will need a strong knowledge of statistics and economics with an emphasis in Data Preprocessing applied on Labor Market. What You Will Do Develop and document data quality solutions and index maintenance processes including rebalancing, data publishing and calculation of indexes across different data assets; Analyze large data sets to identify actionable insights for model development; efficiently work with large datasets and conceptualize analytical framework for quant projects; Leverage research and data models to solve global HR problems; Data collation, interpretation and analysis: Ability to bring out meaningful insights by collating different data insights; Design and evaluate statistical modelling experiments related to Labor Market; Understand technical issues in statistical modelling and apply these skills toward solving business problems; Independently identify issues in methods and frameworks and suggest solutions; Participate in the development of methodologies, tools and code used by the IT development team; Communicate and present actionable business insights to team members through charts, tables and other data visualization; Help in defining/improving and implementing a robust data operation process. What You Will Need: Minimum of a Bachelors degree in statistics, mathematics or economics with 3-5 years of relevant industry experience, 1-2 years of experience with a Master Degree Experience in a quantitative field performing analytics Expertise in at least one of the following statistical analysis programs: R, Python. Good knowledge of a querying language (e.g., SQL) Strong knowledge of advanced functions of Microsoft Excel (lookups, pivot tables, graphics, statistics ) Excellent oral and written communication skills Detail-oriented and commitment to high-quality results If you re an Specialist who s ready to take on a challenging yet rewarding role, we encourage you to apply. At TalentNeuron, you ll have the opportunity to work with top-tier professionals and make a significant impact. We believe in nurturing talent, fostering a collaborative environment, and recognizing the achievements of our team. Join us, exceed your goals, and be a part of our success story. Apply now and let s shape the future of TalentNeuron together. Were an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.