Lead Analyst – Data Products, Compliance Data Enablement

Responsibilities

• Design, build, and maintain curated, reusable datasets and data products for the global HCC data ecosystem, including transparency reporting.
• Design and implement data quality controls within data products to improve completeness, accuracy, consistency, and timeliness.
• Proactively identify root causes of data quality issues and partner with process and system owners to prevent recurring defects.
• Contribute to the data product lifecycle, including intake, design, delivery, maintenance, issue management, and continuous improvement.
• Structure data for analytics, audit, compliance monitoring, reporting, and business consumption.
• Support ad hoc data requests, rapid insights, PoCs, and pilots by providing fit‑for‑purpose data assets and practical guidance.
• Participate in a Data Concierge model to triage incoming data requests, provide rapid insights, or route needs into structured data product development.
• Partner with analytics, strategic enablement, technology, regional HCC, and reporting teams to co‑develop data products and respond to changing business, compliance, and regulatory needs.
• Enable business users through structured, reusable data assets, clear documentation, and practical guidance on appropriate data use.
• Support data catalogue development and data discoverability by maintaining metadata, definitions, lineage, and usage documentation.
• Ensure data products align with data governance standards, privacy expectations, access controls, and approved ways of working.
• Identify data process gaps, risks, and improvement opportunities across the HCC data ecosystem.

• Minimum 6 years of professional experience, preferably in pharmaceutical, medical device, health care, compliance, data, or analytics environments.
• Experience with transaction systems, data products, analytics datasets, external reporting, or compliance monitoring, with a focus on accuracy, usability, and compliance with local and global standards.
• Tools and Analytics: SQL, Python, Alteryx, data profiling, and modern analytics/reporting tools such as Power BI, Tableau, Qlik Sense, AWS, MS Fabric, Databricks, or similar platforms.
• Data Products and Modelling:
  Ability to design reusable data products, structure data for analytics, reporting, and compliance use cases, and manage ownership, purpose, quality expectations, and lifecycle.
• Data Governance and Quality:
  Knowledge of data ownership, stewardship, metadata, catalogues, access controls, documentation, validation, anomaly detection, and quality metrics.
• Root Cause and Improvement:
  Ability to investigate data issues, identify causes, and implement sustainable controls with process and system owners.
• Business Translation and Communication:
  Ability to translate business, compliance, reporting, and analytics needs into practical data solutions and explain data concepts clearly to global stakeholders.
• High integrity, ethical judgement, and Credo-based decision-making.
• Strong attention to detail, problem-solving, and analytical thinking.
• Stakeholder partnership, cross‑functional teaming, and user‑focused enablement.
• Results‑driven, adaptable, and committed to continuous improvement and learning.

Demonstrates expertise in designing and implementing data products, ensuring data quality and governance, and translating complex business needs into actionable data solutions. Proficient in utilizing modern analytics tools and methodologies to support compliance and reporting requirements.