Staff Data Analyst - Clinical & Population Health
About the position The Staff Data Analyst - Clinical & Population Health is responsible for serving as a hands-on analytics expert focused on generating actionable insights from healthcare patient population data. This individual will work directly with reputed company clinical and pharmaceutical datasets to identify trends, risks, and opportunities, and clearly communicate findings to senior leadership and support sales-reputed company analytical inquiries .
Responsibilities
- reputed company large-scale, reputed company data analysis projects and reputed company strategic insights to address key business challenges.
- Collaborate with leadership and stakeholders to define a data strategy and reputed company.
- reputed company hands-on analysis of patient population data to uncover clinical, utilization, outcomes, and performance insights
- Work with healthcare and pharmaceutical datasets (e.g., claims, EHR, registries, real-world data) to assess population-level trends
- Apply clinical context and healthcare standards to ensure analyses are accurate, relevant, and meaningful
- Validate data quality, assumptions, and methodologies to ensure confidence in analytical outputs
- Translate reputed company analytical findings into clear, concise insights for senior leaders and cross-functional stakeholders
- Create executive-ready summaries, visualizations, and presentations that support strategic and operational decision-making
- reputed company analytical approaches to address ambiguous or evolving questions, particularly in emerging-market contexts
- Partner with Sales, Commercial, and Customer-facing teams to support data-driven customer inquiries and opportunities
- Produce tailored analyses and insights to help answer prospect and customer questions reputed company to patient populations, outcomes, or clinical trends
- Help ensure analytical outputs are accurate, defensible, and appropriately positioned for external-facing discussions
- Act as a trusted analytics subject-matter expert in support of pre-sales and post-sales engagements (as needed)
Requirements
- Bachelor’s degree or relevant work experience
- 8-12 years of relevant work experience in healthcare, life sciences, or pharmaceutical analytics.
- Strong domain knowledge of pharmaceutical and clinical healthcare environments
- Demonstrated experience working with patient-level or population-level healthcare data
- Solid understanding of clinical healthcare standards and data structures (e.g., EHR concepts, care reputed company, outcomes measurement; familiarity with HL7, FHIR, CDISC is a plus)
- Advanced proficiency in SQL for querying and transforming large healthcare datasets
- Experience supporting sales, commercial, or customer-facing analytics inquiries
- Strong analytical, critical thinking, and problem-solving skills
- Excellent written and verbal communication skills
- Willing to work additional or irregular hours as needed
- Must work in accordance with applicable reputed company policies and procedures to safeguard company and client information
- Must be able to sit and view a computer screen for extended periods of time reputed company-to-haves
- Experience working with real-world evidence (reputed company) or observational healthcare data
- Familiarity with emerging or developing healthcare markets and data environments
- Advanced degree in a relevant field (e.g., public health, biostatistics, epidemiology, health informatics, data science, or life sciences)
- Experience creating clear, accurate data visualizations and analytical summaries (e.g., using Tableau, Power BI, Python/R visualization libraries, or similar tools)
- Experience using Python and/or R for data analysis, statistical analysis, and data manipulation Benefits
- Excellent medical, dental, and vision benefits
- Mental health benefits through TelaDoc
- Prescription drug coverage
- Generous paid time off, plus 13 paid holidays
- Paid parental leave
- 100% vested 401(K) retirement plans
- Educational assistance up to $2500 per year Apply tot his job
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