Chief Healthcare Data Analyst

1 day ago


Vijayawada, Andhra Pradesh, India beBeeData Full time ₹ 35,00,000 - ₹ 50,00,000

Unlock valuable insights to drive better patient outcomes. As a Principal Consultant, you'll apply advanced analytics and machine learning to uncover key trends and opportunities for pharmaceutical companies and healthcare providers worldwide.

This hands-on role leverages real-world data, predictive modelling, and SQL/Python analytics to deliver high-impact results. You'll support the full product lifecycle, from development to market launch and post-market monitoring, using data-driven strategies to inform product and marketing decisions.

  • Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to drive business growth.
  • 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.
  • Partner with cross-functional teams to translate analytical insights into scalable solutions.

You'll work with regional analytics teams, sharing best practices in predictive modelling and advanced SQL querying to ensure consistent quality and innovation. With strong interpersonal skills, you'll effectively communicate complex analytics to stakeholders and drive actionable business recommendations.

As a Principal Consultant, you'll be part of a rapidly scaling organization with career advancement opportunities. Join a collaborative, mission-driven team passionate about healthcare and data.

You'll have access to professional development, mentorship, and exposure to cutting-edge analytics technologies. If you're ready to make a real impact with your skills in SQL, Python, predictive modelling, and healthcare data analytics, we'd love to hear from you.

Key Responsibilities:
  • Mentor junior team members and promote analytical excellence.
  • Collaborate with Product and Sales teams to develop scalable solutions.
  • Develop and maintain expertise in SQL, Python, and data visualization tools.
  • Stay up-to-date with industry trends and advancements in healthcare analytics.

Requirements:

  • 5+ years' experience in commercial Patient Analytics or related field.
  • Proven expertise in SQL, Python, and data visualization tools.
  • Strong background in healthcare analytics and predictive modelling.
  • Degree in quantitative discipline (e.g., Engineering, Mathematics, Statistics).
  • Effective communication and interpersonal skills.

With a strong background in healthcare analytics and predictive modeling, you'll drive business growth and improve patient outcomes. Join our team today.


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