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Tier-1 employer, mid-level analytics role, metro location, and broad technical requirements create high competition.
Analytics skills are transferable but pharma commercial domain knowledge increases industry specificity.
Required technical proficiency (SQL, Python/R, BI tools) and domain skills make screening moderately strict.
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Lead the development and integration of advanced analytical capabilities to enhance decision quality and customer engagement within commercial pharma brand strategy.
Translate complex data into actionable insights and compelling narratives to influence investment, targeting, and channel strategies across markets.
Continuously evaluate and implement emerging quantitative methods, technologies, and data assets to maintain and modernize analytic toolkits, ensuring competitive advantage.
Work Experience Required: Not explicitly mentioned in the JD.
Technical Skills: Proficiency in SQL and either Python or R; experience with visualization tools such as Power BI or Tableau highly desirable.
Domain Experience: Experience in brand or commercial analytics within pharmaceuticals, healthcare, or highly regulated industries preferred.
Location Requirement: Minimum three days per week in-office working expected (location not explicitly stated).
Experienced in operationalizing analytics into marketing platforms such as field force or omnichannel environments within pharmaceutical or closely related regulated sectors.
Demonstrates strategic leadership in embedding analytics into decision-making, focusing on customer insight and team integration across functions.
Comfortable working in agile settings dedicated to scaling analytics capabilities and influencing senior stakeholders with strong data storytelling skills.