Advanced Healthcare Data Analyst

4 days ago


Agra, Uttar Pradesh, India beBeeData Full time US$ 1,10,000 - US$ 1,40,000
Healthcare Analytics Expert

We are seeking a highly 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.

This is a hands-on role where you will work with large-scale health datasets to uncover valuable insights, 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.

Key Responsibilities:

  • Support commercial Patient Analytics, commercial data analytics, data science, or advanced manipulation and interpretation of real-world healthcare datasets.
  • Develop and optimise automated data pipelines to improve reporting efficiency and deliver faster insights.
  • Build and present interactive dashboards, visualisations, and executive presentations to communicate findings to stakeholders.
  • Partner with Product and 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.

Essential Criteria:

  • 5+ years' experience in commercial data analytics, data science, or advanced manipulation and interpretation of real-world healthcare datasets.
  • Proven expertise in SQL (advanced joins, window functions, aggregations), Python (NumPy, Pandas, Scikit-learn, XGBoost), and data visualisation tools.
  • Strong background in healthcare analytics using datasets from providers such as IQVIA, OPTUM, and KOMODO.
  • Experience with predictive modelling, machine learning, risk stratification, and product uptake forecasting.
  • Skilled in dashboard development, storytelling, and executive-level presentations.
  • Degree in a quantitative discipline (e.g., Engineering, Mathematics, Statistics, Computer Science, Health Economics).
  • Strong interpersonal and communication skills, with the ability to translate complex analytics into actionable business recommendations.

Why This Role?

  • 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.

If you're ready to use your skills in SQL, Python, predictive modelling, and healthcare data analytics to make a real difference, we'd love to hear from you.



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