Data Driven Healthcare Solutions Specialist

1 week ago

Cochin, Kerala, India beBeeAnalytics Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Unlock the power of healthcare data to drive better patient outcomes.

About the Role

This position requires a Senior Analytics Consultant to leverage advanced data analytics, predictive modeling, and real-world data to deliver high-impact outcomes for pharmaceutical companies and healthcare providers across Australia and globally.

Main Responsibilities:

  • Support the full lifecycle of pharmaceutical products using advanced analytics to uncover key trends and opportunities.
  • Conduct market sizing, cohort analysis, risk stratification, and KPI modeling to inform product and marketing strategies.
  • Build and optimize automated data pipelines to improve reporting efficiency and deliver faster insights.
  • Develop and present interactive dashboards, visualizations, and executive presentations to communicate findings to stakeholders.
  • Partner with Sales teams to translate analytical insights into scalable, productized solutions that align with our platform vision.
  • Collaborate with regional analytics teams, sharing 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.

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.

Why Join Us?

  • 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.

We're Passionate About Healthcare And Data

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