Job Title: Senior Data Analyst Company Name: Vera Whole Health Job Details: $85k-$128k/yrRemoteFull,Time Job Url: https://hiring.cafe/viewjob/8j9077fnq3vxq7tr Job Description: Posted 1d agoSenior Data Analyst@ Vera Whole HealthView All JobsWebsiteUnited States$85k-$128k/yrRemoteFull TimeResponsibilities:Analyzing data, Building dashboards, Partnering teamsRequirements Summary:4+ years in data analytics; 2+ years in healthcare; SQL; data viz tools; healthcare data types; strong storytelling.Technical Tools Mentioned:SQL, Tableau, Power BI, Looker, Python, R, Snowflake, BigQuery, Databricks, AWS Redshift Job Description Summary‎ The Senior Data Analyst is a skilled individual contributor who transforms complex healthcare data into clear, actionable insights that drive clinical, operational, and financial performance across CareMore Health. This role sits at the intersection of data engineering, analytics, and healthcare strategy — partnering with clinical teams, care management, finance, and operations to answer the questions that matter most to CareMore's patients and business. The ideal candidate is intellectually curious, comfortable with ambiguity, and motivated by the opportunity to use data to improve lives.‎ How will you make an impact & Requirements‎ Key ResponsibilitiesData Analysis & Insight GenerationDesign and execute complex analyses across clinical, claims, operational, and membership datasets to surface trends, risks, and opportunitiesDevelop and maintain population health analyses identifying high-risk patient cohorts for proactive care management interventionAnalyze medical cost trends, utilization patterns, and quality metrics (e.g., hospital admissions, readmissions, HEDIS measures) to support clinical and financial strategyTranslate analytical findings into clear narratives and recommendations for clinical, operational, and executive audiencesReporting & DashboardingBuild, maintain, and enhance recurring reports and dashboards that track KPIs across care quality, cost, membership, and care center operationsDevelop self-service analytics tools and data products that empower non-technical stakeholders to access and interpret data independentlySupport monthly and quarterly business reviews with timely, accurate performance reportingEnsure data quality and consistency across reporting outputs, proactively identifying and resolving discrepanciesCross-Functional PartnershipPartner with clinical leadership, care coordinators, and disease management teams to design and evaluate program effectiveness using dataCollaborate with the finance team to support medical cost analyses, budget variance investigations, and PMPM trend reportingWork with the technology and data engineering teams to improve data infrastructure, pipelines, and data governance practicesSupport ad hoc analytical requests from senior leadership, responding quickly with rigorous, well-documented analysisData StewardshipMaintain documentation for datasets, data dictionaries, and analytical methodologies to ensure reproducibility and institutional knowledgeUphold data privacy and security standards in compliance with HIPAA and CareMore's internal data governance policiesIdentify gaps in available data and work collaboratively to close them through new data sources or improved collection practicesQualificationsRequiredBachelor's degree in Data Science, Statistics, Biostatistics, Health Informatics, Mathematics, Computer Science, or a related field4+ years of experience in a data analyst or related role, with at least 2 years in healthcare, managed care, or a population health settingAdvanced proficiency in SQL for querying large, complex relational databasesExperience with data visualization tools such as Tableau, Power BI, or LookerStrong working knowledge of healthcare data types including medical claims, pharmacy claims, eligibility/enrollment data, and EMR dataDemonstrated ability to synthesize complex data into clear, compelling presentations for non-technical audiencesFamiliarity with value-based care concepts including risk stratification, quality measures (HEDIS, STARS), and utilization managementPreferredExperience with Python or R for statistical analysis, data wrangling, or automationExposure to Medicare Advantage or Medicaid managed care data environmentsUnderstanding of CMS risk adjustment models (HCC coding, RAF scores)Experience working with cloud data platforms such as Snowflake, BigQuery, Databricks, or AWS RedshiftFamiliarity with HIPAA data handling requirements and healthcare data governance best practices‎ Compensation:$85,159.00to$127,738.00