Business Analyst III
Thermo Fisher Scientific (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own and prioritize the Data Engineering product backlog, defining roadmap, milestones, and success metrics for Enterprise Data Platform deliverables.
- Translate business requirements into detailed user stories, technical requirements, and data-quality rules for Data Engineers to build and validate pipelines.
- Act as primary liaison between business stakeholders and technical teams managing requirement workshops, sprint planning, and ensuring delivered datasets meet acceptance criteria and business outcomes.
Minimum Requirements
- Strong SQL skills including joins, CTEs, aggregations, window functions, and reconciliation for data-quality analysis.
- Solid understanding of data engineering concepts including ETL/ELT, data pipelines, data transformations, data models, and data-quality frameworks.
- Experience with Databricks and PySpark environment and ability to collaborate on transformation logic with Data Engineers.
- Product Owner or Agile experience managing backlogs, writing user stories, prioritizing requirements, and working in Agile delivery models.
Ideal Candidate Profile
- Experienced in bridging technical and business teams, especially working across Supply Chain and Finance stakeholders to align data engineering priorities to measurable business outcomes.
- Comfortable performing hands-on data analysis and validation using SQL and collaborating closely with Data Engineers on pipeline design and data-quality controls.
- Skilled in managing cross-functional communication including facilitating workshops, sprint planning, and translating technical concepts to business-friendly language.