Strategic Healthcare Data Analyst

3 days ago

Ajmer, Rajasthan, India beBeeData Full time US$ 1,50,000 - US$ 1,70,000
Job Overview

We are seeking an expert in healthcare analytics to join our team. The successful candidate will have a strong background in transforming real-world data into actionable insights to drive better patient outcomes.

As a Senior Analytics Consultant, you will work closely with clients to understand their needs and develop customized solutions to address their challenges. You will be responsible for conducting market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies.

The ideal candidate will have a proven track record of 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.

Key Responsibilities:
  • Support pharmaceutical companies, healthcare providers, and governments across Australia and globally with advanced analytics, predictive modelling, and real-world data (RWD) to deliver high-impact outcomes.
  • 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.
  • 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 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.

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