HCP-Level & Commercial Analytics o

Lead HCP-level performance analytics: prescribing trends, market share dynamics, decile movement, and segment-level diagnostics for the brand.

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Design and execute promotion response measurement for the brand — including model construction, assumption documentation, validation, and sensitivity analysis. Frame what the model can and cannot answer; do not over-claim.

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Analyze market dynamics around the brand — competitive uptake, payer mix shifts, channel mix, and launch trajectory benchmarking against analog launches.

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Brand Performance Reporting & Diagnostics o

Own the brand performance reporting layer for the Insights & Analytics team — weekly and monthly trackers, KPI dashboards, and the diagnostic deep-dives that explain what the trackers are showing.

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Establish reporting SLAs, refresh calendars, validation checkpoints, and exception protocols. Every number that reaches the client should be traceable and defensible.

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Methodology & Data Management o

Be the methodology owner for the analyses you lead — selection of approach, defensible documentation, peer review, and post-delivery learning capture.

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Work fluently with the secondary data stack used on the account: IQVIA (Xponent, DDD, NPA), Komodo, Symphony, specialty pharmacy and hub data, payer/claims data, and Veeva CRM.

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Read and challenge BRDs, source-to-target mappings, and business rule definitions critically. Catch issues upstream — in the spec — rather than in the dashboard.

Experience o

5–8 years in pharma / life sciences analytics, with experience spanning both patient-level and HCP-level / commercial analytics for US biopharma clients.

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Direct, hands-on experience at one of: ZS Associates, Axtria, IQVIA, Trinity, Cognizant Life Sciences, or an in-house Insights & Analytics team at a top-25 pharma company.

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Demonstrated work on a launch or early in-line brand is strongly preferred; specialty therapy exposure (HIV/PrEP, oncology, rare disease, immunology)



is a plus.

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Comfortable operating alongside other analytics vendors on the same account — you will not be the only analytics partner in the room.

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Domain Expertise (US Pharma Commercial)

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Working knowledge of patient journey analytics: cohort construction, persistence and adherence measurement, bridging logic, switching analysis, and the data limitations of each.

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Working knowledge of HCP-level analytics: prescribing dynamics, market share decomposition, segmentation diagnostics, and promotion response measurement.

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Fluency with the secondary data stack: IQVIA Xponent / DDD / NPA, Symphony, Komodo, specialty pharmacy and hub data, payer/claims data, and Veeva CRM.

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Understanding of the launch analytics rhythm — what questions the brand team asks pre-launch, in early launch, and through steady state.

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Technical Skills o

Robust SQL — complex joins, window functions, and performance-tuned queries on large healthcare datasets.

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Python for analysis and modeling: pandas, scikit-learn, stats models; comfort building and validating models (regression, classification, survival, response-curve fitting).

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Sound grounding in relational and dimensional data modeling — enough to read a BRD or mapping document critically, not necessarily to build the warehouse.

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Proficiency in at least one BI platform (Power BI, Tableau, or Qlik) sufficient to design and review dashboards, not just author them.

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Comfortable instituting QC discipline: writing validation scripts, designing reconciliation routines, and documenting business rules.

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Consulting & Communication o

Able to lead a client conversation, not just present in one: frame the problem, walk through methodology, defend the recommendation, and adjust based on pushback.

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Writes cleanly — methodology notes, BRDs, executive summaries, and slide narratives that hold up to scrutiny.

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Comfortable disagreeing with a senior client constructively, and equally comfortable saying "we don't know yet, here is how we'll find out."

📌 Consultant – Commercial Analytics (Pharma) (Bengaluru)
🏢 DataZymes Analytics
📍 Bengaluru