Senior Data Analyst

Fair Haven Community Health Care•New Haven, CT

4d•Onsite

About The Position

Fair Haven Community Health Care FHCHC is a forward-thinking, dynamic, and exciting community health center that provides care for multiple generations at over 143,000 office visits in 21 locations. Overseen by a Board of Directors, the majority of whom are patients themselves, we are proud to offer a wide range of primary and specialty care services, as well as evidence-based patient programs to educate patients in healthy lifestyle choices. As we grow and are able to bring high-quality health care to more areas that need access, we continue to put our patients first in everything we do. The mission of FHCHC is “ To improve the health and social well-being of the communities we serve through equitable, high quality, patient-centered care that is culturally responsive .” For 53 years, we have been a health care leader in our community focused on providing excellent, affordable primary care to all patients, regardless of insurance status or ability to pay. Fair Haven is proud to have a motivated team of professionals who are constantly seeking ways to enhance and improve the health and well-being of all patients. We believe that everyone should have access to high-quality medical and dental care, regardless of ability to pay. Job purpose The Senior Data Analyst turns clinical, operational, and financial data into insights that improve patient outcomes, and strengthen organizational performance. You will own high-visibility analytics work, build trusted dashboards, and mentor analysts while collaborating closely with Clinical, Quality, Operations, Finance, and IT in support of the strategy and mission of Fair Haven Community Health Care (FHCHC).

Requirements

Bachelor’s degree in the field of analytics, computer science, business administration or management information systems, and six years of relatable work experience.
6 - 10+ years in healthcare analytics (provider, FQHC, payer, or health system).
Strong SQL and data modeling skills.
Proven experience with BI tools (ex. Tableau, Power BI, Looker) and Excel (pivot tables, Power Query/Power Pivot a plus).
Hands-on EHR data (Epic/Clarity/Caboodle, eClinicalWorks, NextGen, Athena, etc.) and/or claims data (Medicaid/Medicare/commercial).
Working knowledge of eCQMs, UDS, HEDIS, risk adjustment/HCCs, and value-based care measures.
Ability to translate business questions into analytic designs and communicate results to non-technical audiences.
Commitment to health equity, patient privacy, and continuous improvement.
Analytical rigor & problem solving skills, healthcare measure literacy and the ability to influence stakeholders and partners.
A commitment to mentorship & standards mindset.
Cultural humility and commitment to serving diverse communities.
Excellent written, oral communication and interpersonal skills.
The ability to conduct research into data management issues, practices, and products as required and strong technical documentation skills.
Experience working in a team-oriented, collaborative environment with a customer service orientation.
Please note candidates must be able to commute to our New Haven and Branford, Connecticut Offices.

Nice To Haves

Master’s degree in the field of analytics, technology, informatics, or business administration and Tableau Certified Data Analyst, Google Data Analytics Professional Certificate, Microsoft Certified: Power BI Data Analyst Associate, AHIMA Certified Health Data Analyst, Coursera Data Analytics and/or Technology Certificates highly preferred.

Responsibilities

Analytics & Reporting Design, build, and maintain dashboards and reports for clinical quality (ex. UDS, HEDIS), operations, regulatory, revenue cycle, and VBC performance.
Produce monthly scorecards for service lines, providers, and leadership; automate recurring reporting.
Develop cohort/registry analytics (e.g., diabetes, hypertension, cancer screening, behavioral health, maternal health).
Support grant/reporting deliverables (HRSA, state Medicaid, payers) with audit-ready datasets and documentation.
Lead and support AI initiatives
Stakeholder Enablement & Mentorship Translate analytics into plain language and actionable recommendations.
Provide ad-hoc analysis for executives and site leaders; train staff on dashboards and self-service tools.
Coach junior analysts on standards, SQL best practices, and visualization design.
Data Management & Quality Profile, clean, and reconcile data across EHR, population health tools, 340B program, and payer/claims.
Define and implement data quality checks, lineage, and documentation for measures and KPIs.
Collaborate with IT on data pipelines, extracts, and integrations; validate logic through UAT.
Governance, Privacy & Compliance Uphold organizational data governance policies.
Contribute to metric definitions, data dictionary, and change-control for measure logic.