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Tier-1 brand, metro location, and broad analytics manager skillset attract many qualified applicants.
Strong pharmaceutical and HCP analytics focus makes skills less transferable across industries.
Explicit 7+ years requirement, pharma domain experience, and mandatory SQL/Python skills increase screening rigor.
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Lead design, development, and deployment of advanced analytics solutions supporting Global Medical Affairs to generate actionable medical insights.
Manage and mentor a team of analysts and visualization experts, ensuring delivery of high-quality data-driven recommendations that inform medical strategies and improve patient outcomes.
Oversee data quality, develop KPIs, and drive standardization of analytics processes incorporating structured and unstructured data from diverse sources, collaborating cross-functionally including IT and external partners.
Education: PhD, Master’s, or Bachelor’s degree in Computer Science, Engineering, Mathematics, Healthcare or related field with progressively 2+, 5+, or 7+ years respectively of relevant data analytics experience.
Experience Required: Medical Data Analytics, Commercial Data Analytics, Market Research, Performance Reporting or related experience minimum 2+ years for PhD, 5+ for Master’s, 7+ for Bachelor’s.
Technical Skills: Proficiency in SQL, Python, and experience with dashboards/visualization tools such as Tableau, Power BI, or Databricks.
Work Experience Required: Not explicitly mentioned in the JD for notice period or location constraints.
Experienced leader capable of managing and scaling data analytic teams within biotech or pharmaceutical contexts focusing on healthcare provider (HCP) and patient-level analytics.
Strong technical acumen with hands-on expertise in advanced analytics, data modeling, scenario forecasting, and visualization for executive-level decision-making.
Demonstrated ability to translate complex, evolving medical data into clear, actionable insights and lead agile projects ensuring business alignment and measurable impact on medical strategy and patient outcomes.