Commercial Analytics Life Sciences Consultant
New
IndiaFull-TimeMiddle
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Languages
- English
- Experience
- 5–7 years
- Required Skills
- PythonSQLMicrosoft Power BITableau
Requirements
- 5–7 years of experience in analytics consulting, Life Sciences analytics, or commercial excellence roles
- Strong expertise in designing Life Sciences analytics solutions such as sales force effectiveness, segmentation, launch analytics, and omnichannel measurement
- Proven ability to translate business problems into scalable analytical frameworks and solution designs
- Experience working with Life Sciences data sources such as CRM, sales, prescription, or engagement datasets (e.g., IQVIA, Veeva, or similar)
- Hands-on experience with analytics tools such as SQL, Python, Power BI, Tableau, or equivalent platforms
- Strong understanding of KPI definition, data transformation logic, and analytical workflows
- Excellent client-facing communication and storytelling skills, with the ability to simplify complex analytical concepts
- Strong consulting mindset with ability to balance delivery, pre-sales, and solution development responsibilities
- Structured, impact-oriented approach to problem solving and decision-making
- Fluency in English is required
Responsibilities
- Lead end-to-end solution design for Life Sciences analytics use cases, including sales performance, launch analytics, field force effectiveness, HCP targeting, and omnichannel engagement
- Define scalable solution blueprints covering data inputs, KPI logic, analytical models, and business outputs
- Translate complex Life Sciences business challenges into structured, actionable, and industrializable analytics solutions
- Contribute to billable client engagements, taking ownership of analytical design and solution architecture
- Ensure delivered solutions are aligned with business needs and successfully adopted by commercial and medical teams
- Support pre-sales activities including RFP responses, solution proposals, demos, and effort estimations
- Partner with sales and account teams to articulate analytics-driven value and commercial impact
- Build reusable analytics assets, KPI frameworks, and accelerators to standardize delivery across projects
- Collaborate with engineering and data teams to ensure solutions are scalable, production-ready, and reusable
- Act as solution owner during delivery, validating outputs, analytical logic, and business alignment
View Full Description & ApplyYou'll be redirected to the employer's site
