Healthcare Data Strategist

13 hours ago

Allahabad, Uttar Pradesh, India beBeeAnalytics Full time ₹ 40,00,000 - ₹ 80,00,000
Senior Analytics Consultant

We are seeking an exceptional Senior Analytics Consultant to spearhead our healthcare analytics initiatives. As a key member of our team, you will drive high-impact outcomes using advanced data analytics, predictive modeling, and real-world data.

Job Description:

As a Senior Analytics Consultant, you will be responsible for leading the development of pharmaceutical products from development to market launch and post-market monitoring, leveraging advanced analytics to uncover trends and opportunities.

You will conduct market sizing, cohort analysis, risk stratification, and KPI modeling to inform product and marketing strategies. You will also create automated data pipelines to enhance reporting efficiency and deliver faster insights.

Required Skills and Qualifications:

  • 5+ years' experience working with pharma clients, leveraging longitudinal real-world patient datasets to solve use cases such as forecasting, brand performance tracking, prescriber targeting, segmentation, patient journeys, and omni-channel attribution.
  • A strong solutioning mindset: engaging directly with clients, unpacking requirements through probing Q&A, translating business needs into analytical designs, and owning the problem→solution path.
  • Proven client communication skills: confident running pharma stakeholder meetings, handling back-and-forth to refine scope, and presenting insights.
  • Team leadership: experience managing and mentoring analysts/scientists; setting standards, reviewing work, and building repeatable best practices.
  • Technical excellence: advanced SQL (joins, windows, aggregations); Python (NumPy, pandas, scikit-learn, XGBoost); data viz in Power BI; power-user of Excel (VBA/Macros, Power Query). Able to take a brief and query/shape data end-to-end independently.
  • Healthcare analytics background with real-world/claims/EMR data; comfortable with clinical context (e.g., indications, lines of therapy, persistence, switching) and quick to learn unfamiliar disease areas.
  • Degree in a quantitative field (Engineering, Mathematics, Statistics, Computer Science, Health Economics) or equivalent experience.
  • A mindset: hungry, curious, and proactive - eager to learn and continuously raise the bar for the team.

Benefits:

  • Impact: Work on projects that improve healthcare delivery and patient outcomes globally.
  • Growth: Be part of a rapidly scaling company with career advancement opportunities.
  • Culture: Join a collaborative, mission-driven team passionate about healthcare and data.
  • Learning: Access professional development, mentorship, and exposure to advanced analytics technologies.

Others:

If you're ready to leverage your skills in SQL, Python, predictive modeling, and healthcare data analytics to make a real difference, we'd love to hear from you.

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