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Tier‑1 employer, metro location, and early-career generalist data role with common SQL/Python skills drive high competition.
Core SQL/Python skills transferable, but pharma datasets and compliance knowledge increase domain specificity.
Explicit 1–3 year requirement plus pharma dataset and SQL/Python skills enforce moderate filtering.
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Support execution and deployment of data management features within Commercial Data Platform Product teams following governance and SOPs.
Maintain and validate marketing, HCP/patient, and commercial datasets; perform data quality checks and anomaly resolution.
Assist operational data management tasks including documentation and handover processes, collaborating with global and cross-functional teams.
1–3 years of relevant data management experience in the pharmaceutical industry.
Exposure to pharma or commercial datasets such as marketing, HCP/patient activity, or CRM data.
Basic understanding of data management concepts including data quality, governance, metadata, and lineage.
Working knowledge of SQL, Python, or R; familiarity with cloud platforms like AWS or Databricks, or strong willingness to learn.
Early-career professional building expertise in commercial data management within pharma.
Operates well in structured, process-driven environments and follows governance standards.
Ability to collaborate effectively with global cross-functional teams and contribute to data-driven decision-making.