Healthcare Data Analyst Specialist

7 days ago

Coimbatore, Tamil Nadu, India beBeeAnalytics Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Unlock Healthcare Insights

Job Overview
  • Avoiding duplication of efforts and turning real-world healthcare data into actionable insights to drive patient outcomes. We empower better-informed decisions by uncovering meaning from large-scale health datasets and delivering strategic advice.
Key Responsibilities:
  • Support the full lifecycle of pharmaceutical products using advanced analytics to identify key trends and opportunities for growth.
  • Conduct market sizing, cohort analysis, risk stratification, and KPI modeling to inform product and marketing strategies that improve patient outcomes.
  • Develop and optimize automated data pipelines to streamline reporting efficiency and deliver timely insights.
  • Build and present interactive dashboards, visualizations, and executive presentations to communicate findings effectively to stakeholders.
  • Collaborate with Sales teams to translate analytical insights into scalable solutions that align with our platform vision.
  • Partner with regional analytics teams to share best practices in predictive modeling, machine learning, and advanced SQL querying to ensure consistent quality and innovation.
  • Mentor junior team members, promoting analytical excellence and knowledge sharing across the organization.
Requirements
  • 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 stakeholder meetings, handling back-and-forth to refine scope, and presenting insights effectively.
  • 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.

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