Business Analyst III
Core
Own and prioritize the Data Engineering product backlog, translate business requirements into technical specs, and validate data quality for data pipelines and solutions.
Role type
Product Owner (Data Engineering)
Builds
Data engineering pipelines, curated datasets, and analytical data products via the Enterprise Data Platform (EDP).
Domain
Life Sciences / Supply Chain / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL (complex queries, joins, CTEs, window functions), Data Engineering (ETL/ELT, pipelines, data models), Databricks & PySpark, Product Ownership (backlog management, user stories), Stakeholder communication
Preferred skills
Snowflake or Azure data engineering, NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra), ERP and Master Data experience, Data visualization (Power BI, Tableau), Machine learning and Generative AI concepts
Technologies
Databricks, PySpark, SQL, EDP, Snowflake, Azure, Power BI, Tableau
Responsibilities
Define product objectives, roadmap, and acceptance criteria; Partner with stakeholders to understand business problems and translate them into user stories; Perform hands-on SQL analysis to validate datasets and data-quality issues; Collaborate with Data Engineers to design and deliver reliable data pipelines; Establish data-quality requirements and validation rules; Ensure engineering priorities align with Supply Chain and Finance outcomes.
Seniority
Mid-Senior, hands-on IC
