Technical Business Analyst (data & Analytics)

Merck Merck · Pharma · Central Bohemian, Czech Republic

This role focuses on translating business needs into clear, actionable, and technically detailed requirements for data engineering, governance, and analytics teams. The candidate will work with data pipelines, transformations, metadata, access governance, and modern data engineering practices to ensure data products are scalable, well-governed, and fit for purpose.

What you'd actually do

  1. Translate business needs into clear, technically detailed requirements, including data mappings, transformation logic, and acceptance criteria
  2. Define requirements for data ingestion and integration, transformation logic and dbt models, curated/semantic data zones, and data contracts
  3. Interpret and document SQL transformations, schema changes, table structures, and data quality business rules
  4. Work daily with Data Engineers on Databricks pipelines and notebooks, dbt models, DAGs, and tests
  5. Review pipeline logic and validate outputs for correctness, completeness, and alignment to requirements

Skills

Required

  • SQL
  • Databricks
  • dbt
  • data pipelines
  • orchestration
  • data quality controls
  • problem-solving
  • troubleshooting
  • requirements engineering
  • data engineering

Nice to have

  • finance
  • procurement
  • workplace services
  • sustainability
  • business development
  • human resources
  • Power BI
  • Tableau
  • Python
  • R
  • SAP
  • Oracle
  • Anaplan

What the JD emphasized

  • Expert level SQL for data analysis, validation, and transformation
  • Familiarity with Databricks and dbt, including models, testing, and documentation
  • Understanding of data pipelines, orchestration, and data quality controls
  • Excellent problem-solving and troubleshooting skills in complex data environments
  • Ability to translate ambiguous business questions into precise technical requirements