Business Analyst III

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Job Title –Product Owner Job Location: Bangalore, India About Company: ThermoFisher Scientific Inc. is the world leader in serving science, with revenues of more than $40 billion and approximately 1,20,000 employees globally. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. We help our customers accelerate life sciences research, solve complex analytical challenges, improve patient diagnostics, deliver medicines to market and increase laboratory productivity. About Team : We are Automation, AI and Data (AAD) team that caters to data engineering and analytics, automation and AI solutions for various groups and divisions within Thermofisher Scientific. What will you do? As a product owner, you will play a key role in strengthening our data engineering capabilities delivering data engineering pipelines and solutions through Enterprise Data Platform (EDP) for various groups and divisions. General Job Functions Product Ownership & Roadmap Management Own and prioritize the Data Engineering product backlog based on business value, risk, dependencies, and technical feasibility. Define product objectives, roadmap, milestones, acceptance criteria, and measures of success. Business Requirement Translation Partner with Supply Chain, Finance, Data Owners, Data Stewards, SMEs, IT teams, and other stakeholders to understand business problems. Translate business requirements and data-quality rules into clear user stories, technical requirements, data rules, and acceptance criteria for Data Engineers.   Data Analysis & Validation Perform hands-on SQL analysis to understand datasets, investigate data-quality issues, validate engineering outputs, and support root-cause analysis. Define and validate data-quality controls covering completeness, consistency, business rules, reconciliation, duplicates, exceptions, and outliers . These are particularly relevant to the supplied UOM audit procedures. Data Engineering Collaboration Work closely with Data Engineers to design and deliver reliable data pipelines, curated datasets, data-quality solutions, and analytical data products. Participate in discussions involving Databricks, PySpark, SQL, data transformations, source-to-target mappings, data models, and pipeline dependencies . Stakeholder & Cross-Functional Management Act as the primary bridge between business stakeholders and technical teams. Facilitate requirement workshops, backlog refinement, sprint planning, demos, issue resolution, and stakeholder updates. Communicate technical concepts, limitations, risks, and trade-offs in business-friendly language. Data Quality & Governance Establish data-quality requirements, validation rules, exception-management processes, and remediation workflows. Collaborate with Data Owners and Data Stewards to establish accountability and appropriate review/approval processes for master-data changes. Business Domain & Value Alignment Understand how data supports Supply Chain processes such as demand planning, inventory planning, procurement, product/master data and ERP operations , as well as related Finance measures. Ensure engineering priorities are connected to measurable outcomes such as inventory accuracy, planning accuracy, operational efficiency, data-quality improvement, and cost savings. Testing, Release & Adoption Define acceptance criteria and coordinate business/UAT validation of engineering deliverables. Validate that delivered datasets and data products meet functional requirements before release and monitor adoption, data quality, and business outcomes after implementation. Must have skills and experience Strong SQL skills – ability to write complex queries involving joins, CTEs, aggregations, window functions, reconciliation, exception identification, and data-quality analysis. Data Engineering understanding – solid understanding of ETL/ELT, data pipelines, data