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Healthcare Data Insights Specialist

2 weeks ago

Vadodara, Gujarat, India beBeeAnalyst Full time US$ 1,20,000 - US$ 1,50,000

About us

We empower better healthcare decisions by uncovering meaning from large-scale health data sets and delivering powerful, data-driven strategies.

This is a hands-on role where you'll 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.

Job Description:

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 (e.g., in Dataiku) 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, 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.
Required Skills and Qualifications:

3+ 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.
Benefits:

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.