Advanced Healthcare Data Analyst

19 hours ago

Chennai, Tamil Nadu, India beBeeSeniorAnalyticsConsultant Full time ₹ 25,00,000 - ₹ 30,00,000

Unlocking the power of real-world healthcare data drives better patient outcomes. We leverage advanced analytics and machine learning to uncover insights that transform the healthcare industry.

We seek a Senior Analytics Consultant to join our team, who will harness large-scale health data sets to deliver high-impact results for pharmaceutical companies, healthcare providers, and governments globally.

About Our Work

  • Machine learning, predictive modelling, and advanced SQL/Python analytics are applied to real-world datasets—claims, EMR, registries, and supply chain—to support 70+ therapy areas worldwide.
  • Actionable insights are provided through market sizing, cohort analysis, risk stratification, and KPI modelling to help clients make informed decisions.
  • Automated data pipelines are built and optimized to improve reporting efficiency and deliver faster insights.
  • Interactive dashboards, visualisations, and executive presentations are developed and presented to communicate findings to stakeholders.

Your Role

  • You will support the full lifecycle of pharmaceutical products—from development to market launch and post-market monitoring—using advanced analytics to uncover key trends and opportunities.
  • You will partner with Sales teams to translate analytical insights into scalable, productised solutions that align with our platform vision.
  • You will collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation.
  • You will mentor junior team members, promoting analytical excellence and knowledge sharing.

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.
  • A strong solutioning mindset is required: 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 are necessary: 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 expertise: 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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