Data Analytics Expert

6 days ago


Cochin, Kerala, India beBeeAnalytics Full time ₹ 4,40,000 - ₹ 6,40,000
Job Description

We are seeking a skilled Data Analytics Expert to join our team.

This is a hands-on role where you'll leverage advanced data analytics, predictive modeling, and real-world data to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments across Australia and globally.

You will have the opportunity to work on diverse projects, analyzing large-scale health datasets and delivering powerful, data-driven strategies that improve patient outcomes.

  • Support the full lifecycle of pharmaceutical products using advanced analytics to uncover key trends and opportunities.
  • Conduct market sizing, cohort analysis, risk stratification, and KPI modeling 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, visualizations, and executive presentations to communicate findings to stakeholders.
  • Partner with Product and Sales teams to translate analytical insights into scalable, productized solutions.
  • Collaborate with regional analytics teams, sharing best practices in predictive modeling, machine learning, and advanced SQL querying.
  • Mentor junior team members, promoting analytical excellence and knowledge sharing.
Required Skills and Qualifications

You will need:

  • 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 visualization tools.
  • A strong background in healthcare analytics using datasets from providers such as IQVIA, OPTUM, and KOMODO.
  • Experience with predictive modeling, machine learning, risk stratification, and product uptake forecasting.
  • Degree in a quantitative discipline such as Engineering, Mathematics, Statistics, Computer Science, or Health Economics.
  • Strong interpersonal and communication skills, with the ability to translate complex analytics into actionable business recommendations.
Benefits

You will have the opportunity to work on diverse projects, analyze large-scale health datasets, and deliver powerful, data-driven strategies that improve patient outcomes.

Others

This is a challenging and rewarding role that requires strong analytical skills, attention to detail, and effective communication. If you are passionate about using data to drive business decisions, we encourage you to apply.



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