Technical Data Analyst – Data Quality (Regulatory Data)

Zachary Piper Solutions is recruiting for an unnamed global pharmaceutical organization seeking a Technical Data Analyst to support regulatory data governance and data quality monitoring. The role translates business requirements into technical specifications and executable rules, validates monitoring processes, and works with Regulatory Data Stewards and technical stakeholders to improve regulatory data reliability.

Responsibilities:

• Translate business data quality requirements into detailed technical specifications, including rule logic, thresholds, severity levels, exceptions, and Critical Data Elements (CDEs)
• Profile and analyze regulatory source data to evaluate data quality, identify patterns and relationships, and determine implementation requirements
• Develop, build, and configure data quality rules using SQL, Python, and approved rule-management platforms
• Support the implementation and configuration of data quality rules within BRMS or other approved data quality tools
• Develop and execute test scenarios, including positive, negative, boundary, and exception testing, to validate rule accuracy and functionality
• Reconcile testing results, including evaluated, passed, and failed records, in collaboration with Regulatory Data Stewards
• Analyze failed data quality records and support remediation workflows, including issue routing, notifications, ownership assignments, and resolution tracking
• Support the development and maintenance of data quality dashboards, SLA tracking, performance metrics, and trend reporting
• Collaborate with business stakeholders and Regulatory Data Stewards to clarify requirements, refine rule logic, and obtain approval of testing results
• Maintain detailed technical documentation, including rule specifications, test evidence, approvals, version history, exceptions, and change records
• Monitor ongoing data quality rule execution, investigate failures, support rule updates, and perform regression testing as needed

Requirements:

• Hands-on experience with Veeva Vault RIM (Regulatory Information Management) is required
• Prior experience working with pharmaceutical regulatory data and regulatory processes is required
• Strong proficiency in SQL and Python for data profiling, analysis, and data quality rule development
• Experience translating business requirements into technical specifications and executable data quality rules
• Demonstrated ability to develop and execute test cases and validate data quality results
• Understanding of data governance principles, data quality monitoring, and Critical Data Elements (CDEs)
• Experience collaborating with business stakeholders, data stewards, and technical teams
• Strong documentation, analytical, and problem-solving skills, with an emphasis on accuracy and traceability
• Ability to manage multiple priorities and work effectively in a cross-functional environment
• Experience with Informatica Data Quality (IDQ) or similar data quality platforms
• Experience with Business Rules Management Systems (BRMS) or comparable rule-management tools
• Experience developing or supporting data quality dashboards, SLA monitoring, and trend analysis
• Familiarity with regulatory data governance frameworks and enterprise data quality initiatives