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WellSky · 2 months ago

Staff Data Analyst - Clinical & Population Health

Overland Park, KS

Full-time

Onsite

Lead/Staff

8+ years exp

WellSky is a company focused on innovation and collaboration, seeking a Staff Data Analyst specializing in Clinical & Population Health. The role involves analyzing healthcare patient population data to provide actionable insights, collaborating with various stakeholders, and delivering clear findings to support strategic decisions.

Health CareSoftware

No H1B

Responsibilities

Lead large-scale, complex data analysis projects and develop strategic insights to address key business challenges

Collaborate with leadership and stakeholders to define a data strategy and priority

Perform 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 complex 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

Develop 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 related 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)

Qualification

Healthcare analyticsSQL proficiencyClinical healthcare standardsPatient-level data analysisData visualization toolsAnalytical thinkingSales support analyticsReal-world evidencePython/R for analysisCommunication skillsProblem-solving skills

Required

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 pathways, 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

Preferred

Experience working with real-world evidence (RWE) 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