Advanced Healthcare Data Analyst

2 days ago

Vijayawada, Andhra Pradesh, India beBeeAnalytics Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Senior Analytics Consultant

We are seeking a skilled professional to leverage advanced data analytics, predictive modelling, and real-world data (RWD) to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments across Australia and globally.

About the Role
  • 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.
  • Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies.
  • Build and optimise automated data pipelines to improve reporting efficiency and deliver faster insights.
  • Develop and present interactive dashboards, visualisations, and executive presentations to communicate findings to stakeholders.
  • Partner with Sales teams to translate analytical insights into scalable, productised solutions that align with our platform vision.
  • Collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation.
  • 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.
  • 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.

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