CART Data Analytics Technical Business Analyst

TESTQ Technologies LTD.; Leiden; Hybrid; EUR 111,000 - 166,000; Part time

Job summary

TESTQ Technologies LTD. seeks a Technical Business Analyst to bridge manufacturing, engineering and IT for CART/Advanced Therapy data work. The role focuses on data architecture, data quality and KPI definition within MES, eLIMS and ERP contexts.

You will translate business goals into concrete user stories, manage the backlog, and collaborate with Data Product Managers, Data Engineers and QA teams through sprint cycles, ensuring governance and UAT.

Responsibilities

• Partner with manufacturing, engineering, and IT teams to understand the data architecture in MES, eLIMS, and ERP platforms.
• Perform data profiling and validation using SQL or data exploration tools to ensure accuracy, completeness, and integrity across integrated data models.
• Map business source system data to target CDL schemas.
• Collaborate with Data Product Managers and Architects to expand existing CAR-T data products
• Translate business goals into actionable D&A user stories, and acceptance criteria
• Analyse the raw data and define KPI metrics and business rules for reporting and downstream analytics products.
• Maintain, prioritize, and refine the product backlog for MES-to-CDL ingestion and D&A product builds.
• Partner with Data Engineers, Solution Architects, and QA teams throughout the sprint lifecycle to ensure clear requirements and validate deliverables.
• Facilitate User Acceptance Testing (UAT), define test scenarios, and secure business sign-off for release.
• Ensure data ingestion patterns adhere to enterprise data governance, security, and quality standards.
• Create standard DOMDs, functional specifications, data dictionaries, process workflows, and user guides.

Job description

TESTQ Technologies LTD. seeks a Technical Business Analyst to bridge manufacturing, engineering and IT for CART/Advanced Therapy data work. The role focuses on data architecture, data quality and KPI definition within MES, eLIMS and ERP contexts.

You will translate business goals into concrete user stories, manage the backlog, and collaborate with Data Product Managers, Data Engineers and QA teams through sprint cycles, ensuring governance and UAT.