Senior Commercial Analytics Consultant

Sales & Marketing Analytics — Healthcare & Life Sciences (HLS)

Location: Bangalore/Mumbai/Gurugram/Coimbatore_Hybrid (specify market or region as needed)

Employment Type: Full-time, Permanent

Practice: Healthcare & Life Sciences (HLS) Commercial Analytics

Level: Senior Consultant / Manager (8+ years' experience)

About The Role

We're looking for a senior Commercial Analytics Consultant with a broad, hands-on grounding in pharma and HLS sales and marketing data — someone who has spent close to a decade using that data to solve real commercial problems and is ready to lead engagements, not just execute on them. You'll anchor our HLS analytics team's thinking across a wide spectrum of initiatives spanning marketing, commercial & sales, and customer/omnichannel analytics, bringing a consulting mindset and enough seniority to own client relationships end to end.

You'll lead work across areas like campaign and brand analytics, channel analytics, omnichannel engagement and next-best-action, and hyper-personalization — as well as the data management, dashboarding and reporting work that underpins all of it. You'll also help shape our own analytics products and IP, bringing life sciences context that makes them genuinely fit for the industry. Marketing mix modeling is part of that toolkit alongside these other methodologies, and you'll be equally comfortable framing a current problem with a client as you are directing the team that solves it.

What You'll Do

Marketing Analytics

- Lead campaign performance analytics, content testing and product development analytics engagements for pharma brand teams.
- Own brand & portfolio analytics and competitive insights work, from framing through to client-ready output.
- Direct the application of marketing mix and optimization approaches — including MMM — as part of a broader measurement toolkit.

Commercial & Sales Analytics

- Lead partner & channel analytics engagements across pharma commercial teams.
- Own 4P (product, price, place, promotion) insights and broader commercial analytics initiatives.
- Direct field force effectiveness and territory-level commercial analytics work.

Customer & Omnichannel Analytics

- Lead omnichannel engagement and customer experience analytics across pharma commercial teams.




- Own next-best-action, digital shelf and hyper-personalization use cases from scoping to delivery.
- Guide patient safety / adverse event monitoring analytics where relevant.

Data Management, Visualization & Reporting

- Partner with data engineering and platform teams to structure and integrate sales, marketing, digital and omnichannel data for analysis-ready use.
- Set the standard for dashboards and reporting assets (e.g. Power BI or equivalent) that make commercial analytics outputs genuinely usable for brand and field teams.
- Define reporting requirements and data structures for recurring commercial performance tracking as well as one-off analyses.
- Own data quality, consistency and governance across the sales & marketing data feeding into analytics and reporting outputs.

Consulting & Client Leadership

- Own client relationships and lead conversations end to end, translating open-ended business questions into scoped analytical approaches across the above spectrum.
- Direct delivery teams — including marketing mix modeling, data engineering and visualization — bringing pharma commercial context to their work.
- Shape pharma commercial context into proposal development and scoping for prospective clients, including new business conversations.
- Bring life sciences and pharma context to the ongoing development of our own analytics products and IP, helping shape them to be genuinely fit for the industry's commercial use cases.
- Mentor and guide cross-functional team members working across these engagements.

What You Bring

- 8+ years in pharma/HLS commercial analytics, working directly with sales and marketing data — promotional spend, prescription/volume, digital and omnichannel engagement, and CRM/field activity.
- A track record of solving a wide variety of commercial analytics problem statements, spanning areas such as campaign/brand analytics, channel analytics,



or customer/omnichannel analytics.
- Hands-on experience with data structuring, dashboarding and reporting (e.g. Power BI or equivalent tools), and a strong sense of what makes a dashboard genuinely usable for a commercial or brand audience.
- A consulting mindset with the seniority to own new, loosely-defined problems and structure an analytical approach directly with the client.
- Working exposure to marketing mix modeling or other media/channel measurement approaches.
- Strong client-facing communication skills; comfortable owning senior stakeholder relationships and leading conversations independently.
- Ability to translate fluently between business/brand stakeholders and technical delivery teams in both directions.
- Experience mentoring or leading cross-functional team members within a project or engagement structure.

Nice To Have

- Exposure to payer analytics or broader healthcare analytics — e.g. claims-based insights, formulary or market access analytics — beyond core pharma commercial data.
- Exposure to sales force effectiveness or territory alignment analytics.
- Experience with next-best-action, hyper-personalization or digital shelf analytics.
- Familiarity with synthetic control, test-and-learn or other causal measurement approaches.
- Experience with data pipeline or automated data ingestion tools that feed into reporting and dashboarding layers.
- Prior experience contributing to internal analytics products, accelerators or IP.
- Prior consulting or client-services background, with experience scoping and delivering engagements from discovery through to results.

What We Offer

- A senior, client-facing seat spanning the full spectrum of HLS commercial analytics, with real ownership over engagements.
- A voice in shaping our analytics products and IP for the life sciences industry, alongside client delivery leadership.
- Exposure to a wide portfolio of global pharma and life sciences clients and commercial data ecosystems.
- Close partnership across our marketing mix, data engineering and visualization teams, with real influence over how engagements are scoped and framed.
- A collaborative, flexible working model with a clear path into broader commercial analytics practice leadership.

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