Transforming Healthcare Through Data Analysis

1 week ago

Hubli, Karnataka, India beBeeAnalyst Full time ₹ 13,53,200 - ₹ 20,34,850
Unlock Patient Insights

Improve healthcare delivery and patient outcomes globally by leveraging advanced data analytics, predictive modelling, and real-world data.

As a Data Analyst, you will work on projects that uncover meaning from large-scale health datasets and deliver powerful, data-driven strategies to pharmaceutical companies, healthcare providers, and governments.

  • Support the full lifecycle of 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 optimize 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 Product and Sales teams to translate analytical insights into scalable solutions that align with our platform vision.
  • Collaborate with regional 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 in commercial Patient Analytics, 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 (Power BI, Excel VBA/Macros, Power Query).
  • 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 Join?
  • 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.
Join Our Mission

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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