MilliporeSigma is looking for Senior Analyst- Data Analyst, SAP BODS to join our dynamic team and embark on a rewarding career journey.Data Integration: Design, develop, and implement data integration solutions using SAP BODS. This involves extracting, transforming, and loading (ETL) data from various sources into target systems or data warehouses.Data Quality Management: Ensure data accuracy, integrity, and consistency by implementing data quality rules, cleansing techniques, and data validation processes.Data Modeling: Design and develop data models to support the organization's reporting and analytics requirements. This includes creating data structures, defining relationships, and optimizing data storage and retrieval.System Configuration: Configure and optimize SAP BODS for efficient data integration and performance. This involves setting up connections to source systems, defining data extraction and transformation logic, and configuring job scheduling and monitoring.Documentation: Create and maintain technical documentation, including data integration specifications, data mappings, and data flow diagrams. Documenting design decisions, configurations, and troubleshooting steps is also essential.Testing and Troubleshooting: Perform unit testing, system testing, and integration testing to validate the accuracy and completeness of data integration processes. Identify and resolve any issues or errors encountered during testing or production deployment.Performance Optimization: Identify and implement performance tuning techniques to improve the efficiency and speed of data integration processes. This may involve optimizing SQL queries, partitioning data, or implementing parallel processing.Stakeholder Collaboration: Collaborate with business stakeholders, data analysts, and other IT teams to gather requirements, understand data integration needs, and ensure that solutions align with business objectives.Skills and Qualifications:SAP BODS Expertise: In-depth knowledge and hands-on experience with SAP BODS, including data extraction, transformation, and loading techniques. Familiarity with BODS administration and performance optimization is also important.Data Integration and ETL: Strong understanding of data integration concepts and ETL methodologies. Experience with different data integration tools and techniques beyond SAP BODS is beneficial.Database and SQL: Proficiency in working with relational databases and writing complex SQL queries. Knowledge of data modeling and database design principles is desirable.Data Quality and Governance: Understanding of data quality management practices, data profiling, and data cleansing techniques. Familiarity with data governance frameworks and best practices is a plus.