> Markdown version of [/jobs/ext/4506870-data-analytics-manager](https://www.wearedevelopers.com/jobs/ext/4506870-data-analytics-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analytics Manager - **Company:** CVS Health - **Location:** Hartford, CT, United States - **Experience:** Expert - **Salary:** $66,330.0 - $145,860.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Health Informatics, Cloud Computing, Data Validation, Data Governance, Decision Support Systems, Power BI, SAS (Software), SQL Databases, Data Analytics, Databricks - **Published:** November 1, 2026 - **Apply:** https://www.businessworkforce.com/job.asp?id=3485650222&tx=IT8376TYT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role Expert in end-to-end Risk Adjustment processes, encounter data validation, HCC analytics, provider coding accuracy, CMS reporting, and healthcare data governance. Strong blend of technical expertise and leadership skills with experience driving operational excellence, regulatory compliance, and data-driven decision making., * Experienced healthcare analytics professional with 7+ years of healthcare industry experience. * 5+ years of Medicare Risk Adjustment, EDS, MAO-004, or ACA analytics experience. * Experience leading projects and healthcare data initiatives. * Strong knowledge of CMS regulations, HCC models, and regulatory reporting. Preferred Qualifications * Experience with SQL, SAS, Databricks, Cloud platforms (GCP/Azure/AWS), and Power BI. * Background in healthcare claims, encounter data, and provider analytics. * Experience with data governance, automation, and process improvement. * Master's degree a plus. Education: Bachelor's degree or rel. work experience. ## Description Proven success leading cross-functional projects in large-scale healthcare data operations, compliance, data quality, and analytics initiatives.