PwC Intelligence_Insights Factory_Senior Associate_Commercial Data & Analytics_Health Industries

Knowledge And Skills Preferred

• As a critical member of a team of Health Industries data scientists, maintain and analyze large, complex healthcare datasets to uncover insights that inform topics such as patient behavior, market dynamics, regulatory trends, provider and payer performance, innovation adoption, access to care, pricing strategies, and operational optimization;
• Support in the identification of new, cutting-edge healthcare data sources (e.g., real-world evidence, claims data, clinical trial registries, formulary data) that add to the firm’s differentiation among competitors and deepen value to clients;
• Building predictive models and data-led tools that inform strategic decisions across payer, provider, pharma, and medtech sectors;
• Design and conduct experiments (e.g., policy impact analysis, intervention efficacy testing, treatment adherence modeling) to measure effectiveness of healthcare initiatives and support continuous improvement;
• Partner with the US team and healthcare business stakeholders and client teams to translate analytical findings into actionable recommendations and compelling narratives that support clinical, financial, and operational decision-making;
• Develop dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics, stakeholder engagement, and regulatory reporting;
• Stay up to date and ahead of industry trends, patient and provider behavior patterns, and emerging technologies shaping the healthcare landscape;
• Experience managing high-performing data science and commercial analytics teams with deep healthcare domain knowledge;
• Strong SQL and Alteryx skills and proficiency in Python and/or R for healthcare data manipulation, modeling, and visualization;
• Experience applying machine learning or statistical techniques to real-world healthcare challenges, including cost forecasting, population health management, or precision medicine applications;
• Solid understanding of key healthcare metrics (e.g., PMPM, readmission rates, utilization, adherence, access, NPS, etc.);
• Proven ability to explain complex healthcare data concepts to non-technical stakeholders across payer, provider, and life sciences environments
• Experience with healthcare datasets such as IQVIA, Clarivate, Evaluate Pharma, Citeline, AIS Health, Symphony Health, etc.
• Knowledge of geospatial or time-series analysis in a healthcare setting (e.g., site-of-care optimization, treatment seasonality, regional variation in access)
• Prior work with pricing strategy, access and reimbursement modeling, value-based care analytics, or health equity assessment.