Advanced Analytics Lead

6 days ago

Bareilly, Uttar Pradesh, India beBeeAnalytics Full time ₹ 15,00,000 - ₹ 30,00,000

Unlock Healthcare Insights

We are seeking an Advanced Analytics Lead to spearhead data-driven initiatives across Australia and globally. This is an exceptional opportunity to leverage your expertise in advanced analytics, predictive modeling, and real-world data (RWD) analysis.

  • Deliver High-Impact Outcomes: Utilize advanced analytics to uncover key trends and opportunities supporting the full product lifecycle – from development to market launch and post-market monitoring.
  • Drive Business Growth: Conduct market sizing, cohort analysis, risk stratification, and KPI modeling to inform product and marketing strategies.
  • Optimize Data Pipelines: Build and optimize automated data pipelines to improve reporting efficiency and deliver faster insights.
  • Present Insights Effectively: Develop and present interactive dashboards, visualizations, and executive presentations to communicate findings to stakeholders.
  • Mentor Junior Team Members: Collaborate with regional analytics teams, sharing best practices in predictive modeling, machine learning, and advanced SQL querying to ensure consistent quality and innovation.
Required Skills and Qualifications

Key Responsibilities:

  • 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.
  • Strong solutioning mindset: able to engage directly with clients, unpack requirements through probing Q&A, translate business needs into analytical designs, and own 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.
  • Mindset: hungry, curious, and proactive - eager to learn and continuously raise the bar for the team.
Why Join Us?
  • Impact: Work on projects that improve healthcare delivery and patient outcomes globally.
  • Growth: Be part of a rapidly scaling organization 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.

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