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Senior Healthcare Data Analyst
beBeeDataAnalystNadiad, Gujarat, India1 day ago
Job descriptionConduct market sizing, cohort analysis, risk stratification, and KPI modeling to inform product and marketing strategies. Build and optimize automated data pipelines (e.g., in Dataiku) to improve reporting efficiency and deliver faster insights. Develop and present interactive dashboards, visualizations, and executive presentations to communicate findings to stakeholders. Partner with Sales teams to translate analytical insights into scalable, productized solutions that align with our platform vision. Collaborate with regional analytics teams, sharing best practices in predictive modeling, machine learning, and advanced SQL querying to ensure consistent quality and innovation. 5+ years' experience working with pharma clients, leveraging longitudinal real-world patient datasets to solve use cases such as forecasting, brand performance tracking, prescriber targeting, segmentation, patient journeys, and omni-channel attribution. Strong solutioning mindset : able to engage directly with clients, unpack requirements through probing Q&A, translate business needs into analytical designs, and own the problem→solution path. Proven client communication skills : confident running pharma stakeholder meetings, handling back-and-forth to refine scope, and presenting insights. Team leadership : experience managing and mentoring analysts / scientists; setting standards, reviewing work, and building repeatable best practices. Technical excellence : advanced SQL (joins, windows, aggregations); Python (NumPy, pandas, scikit-learn, XGBoost); data viz in Power BI; power-user of Excel (VBA / Macros, Power Query). Able to take a brief and query / shape data end-to-end independently. Healthcare analytics background with real-world / claims / EMR data; comfortable with clinical context (e.g., indications, lines of therapy, persistence, switching) and quick to learn unfamiliar disease areas. Familiarity with PBS data is preferred, or a demonstrated ability to quickly get up to speed. Degree in a quantitative field (Engineering, Mathematics, Statistics, Computer Science, Health Economics) or equivalent experience. Mindset : hungry, curious, and proactive - eager to learn and continuously raise the bar for the team.
Unlocking real-world healthcare data is crucial for enhancing patient outcomes. Our organization has developed a novel approach to uncover valuable insights from large-scale health datasets, empowering informed decisions.
We are seeking an expert in analytics to lead our team. This player-coach role combines leadership, client management, and hands-on analytics. The ideal candidate will apply advanced analytics, predictive modeling, and real-world data to deliver high-impact results for pharmaceutical companies, healthcare providers, and governments globally.
In this role, you will oversee a team of consultants, collaborate with clients and stakeholders to clarify problems, design solutions, deliver analytical work, and present actionable insights. We require someone adept, flexible, and proactive – a manager who excels at tackling complex challenges end-to-end and driving measurable results.
About the Role
- Be an early member of the Analytics Centre of Excellence Team and play a key role in shaping its vision, standards, and ways of working.
- Gain hands-on exposure to diverse regions and healthcare systems—ANZ, Japan, and the US—enhancing both your technical expertise and domain knowledge.
- Apply your analytical expertise to solve real-world problems while contributing to in-field R&D, helping define and shape the future of our products.
The Full Lifecycle of Pharmaceutical Products
Essential Criteria
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Senior Data Analyst • Nadiad, Gujarat, India
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