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Roche

Global pharmaceuticals and diagnostics company

Data & Insights Enablement – Senior Analyst

Data ManagementPosted on Nov 12
Full-timeNo salary listed

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Information Systems, Business Analytics, Data Management, Engineering, or a related discipline, and at least 5 years of experience.
  • Advanced SQL proficiency for complex data querying, data profiling, lineage tracing, and data validation across relational and distributed data warehouse environments.
  • A proven track record interfacing directly with business teams to elicit, structure, and document technical data requirements, including product requirement documents, source-to-target mappings, and data flow diagrams, using Confluence and Jira.
  • Hands-on operational experience with enterprise data catalog solutions, preferably Collibra or an equivalent platform such as Alation.
  • Working knowledge of life sciences and pharmaceutical commercial data structures, including Sales, Claims/Prescription, Healthcare Professional, and Healthcare Organization data domains.
  • Ability to distill complex, ambiguous business problems into structured, methodical, and well-organized documentation.
  • Clear verbal and written communication skills and the ability to interact with director-level business stakeholders and software engineers.
  • Willingness and availability to align working hours to overlap with U.S. Pacific Standard Time during the first half of the day.

Responsibilities

  • Lead discovery and elicitation sessions with business stakeholders, data owners, and technical teams to define data governance product capabilities, workflows, and integrations.
  • Author detailed product requirement documents, source-to-target mappings, user stories, data dictionary definitions, and architecture flowcharts using Confluence and Jira.
  • Manage feature prioritization, sprint backlogs, acceptance criteria, and user acceptance testing in an Agile data product delivery environment.
  • Drive enterprise-wide adoption, configuration, and maintenance of data catalog platforms such as Collibra, ensuring comprehensive business glossaries, asset definitions, and critical data elements.
  • Map end-to-end data lineage, relationships, and metadata attributes across source transactional systems, data lakes, and downstream analytics marts.
  • Partner with governance leads to establish data classification, taxonomy standards, schema validation, and access policies.
  • Act as the technical governance liaison for pharmaceutical data domains including Sales, Prescription/Claims, Healthcare Professionals, Healthcare Organizations, and Payer/Market Access datasets.
  • Guide cross-functional teams in standardizing master data attributes and cross-referencing domain-specific data definitions across global and regional commercial platforms.
  • Translate functional business requirements and governance policies into explicit data quality validation criteria and SQL-based logic.
  • Define thresholds and metrics for data completeness, accuracy, consistency, integrity, and freshness to support automated data quality pipelines.
  • Serve as the primary contact for U.S. commercial and analytics business users, conduct working sessions, and resolve requirements ambiguities.
  • Maintain daily working-hour overlap with North American business partners operating on U.S. Pacific Standard Time.

Desired Qualifications

  • Python scripting experience.
  • Data catalog platform experience with Collibra or equivalent enterprise platforms such as Alation.
  • Practical experience translating complex business requirements into verifiable data quality rules and SQL validation logic.

About the Company

Roche

Global pharmaceuticals and diagnostics company

Roche is a global leader in pharmaceuticals and diagnostics. It develops medicines and diagnostic tools that help detect, monitor, and treat diseases, using research and biotechnology to drive new therapies and tests. Roche combines drug development with in-house diagnostic products to support personalized medicine, where treatments are tailored to individual patients based on test results. Its approach differs from many peers by integrating drug discovery with diagnostic capabilities and by expanding its research through strategic acquisitions (like Genentech) to strengthen its biotechnology and R&D capabilities. The company’s goal is to improve patient outcomes and healthcare worldwide by delivering reliable medicines, accurate diagnostic tests, and data-driven care.

Company size
1-10
Company stage
IPO
Headquarters
Basel, Switzerland
Founded
1896

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