Data Analyst, ACO

Come grow with us!   Medrina has been voted one of the fastest growing companies and 92% of our employees feel we are a Great Place  To Work!   For more details on what our employees say go to  Working at Medrina | Great Place To Work® . 

This is a full-time role operating from central or eastern regions of United States during standard business hours Monday - Friday (from your home office remotely) with travel in the United States for company meetings (this is not a flexible schedule opportunity).  T his role handles sensitive information; w ork must be performed in a private and secure setting (with a door) requiring reliable internet and phone connectivity. This role does not offer immigration visa sponsorship. 

This role offers annual salary range of $90,000.  We offer an excellent benefits package including 15 days of vacation, 7 paid holidays, and 5 sick days annually, multiple medical and vision insurance plans, which begin day one (no waiting period), employer-paid life insurance, 401(k) with a company match, $1,700 annual professional development reimbursement, $100 monthly teleworker stipend and more.

Essential Duties and Responsibilities ( below are typical responsibilities and not an exhaustive list of all duties, other duties may be assigned as needed).

LEAD ACO Quality & Performance Analytics

• Design and maintain data models and pipelines to support LEAD quality measures, including claims-based measures (Risk-Standardized All-Condition Readmission, All-Cause Unplanned Admissions for Patients with Multiple Chronic Conditions, Days at Home, Timely Follow-Up) and optional electronic clinical quality measures (eCQMs) such as Controlling High Blood Pressure and Diabetes: Glycemic Status Assessment >9%.
• Translate CMS measure specifications into accurate denominator eligibility and numerator performance logic; reconcile results with payer and CMS data feeds.
• Develop and maintain Power BI dashboards and scorecards tracking quality performance, care gaps, utilization, and financial benchmarks at the ACO, pod, facility, and clinician levels.
• Support Prevention and Quality Plan (PQP) measurement and Continuous Improvement / Sustained Exceptional Performance (CI/SEP) tracking.

Data Integration, Modeling & Reporting

• Build and maintain SQL views, pipelines, and data models integrating EHR (e.g., PointClickCare, Matrix, Epic), claims (CCLF), ADT, and operational data sources in SQL Server, Azure Synapse, or equivalent platforms.
• Create exception reporting, drill-through capabilities, and automated data validation processes to ensure data integrity for CMS submissions and internal decision-making.
• Partner with clinical, operational, and finance teams to define KPIs and translate business questions into analytical solutions focused on remote patient monitoring, chronic care management, and post-acute outcomes.
• Develop and document data dictionaries, measure logic, and lineage for audit readiness and knowledge transfer.

Population Health & Shared Savings Support

• Analyze utilization patterns, risk adjustment opportunities, and high-cost/high-need populations to identify intervention opportunities across SNF, assisted living, and affiliate physician groups.
• Support modeling of shared savings distribution scenarios and growth projections (e.g., new affiliate lives, assisted living expansion, SNF census growth).
• Produce ad-hoc analyses and recurring reports for Board, executive, and clinical leadership review.

Collaboration & Continuous Improvement

• Work closely with clinicians, Pod Leaders, Regional Medical Directors, and operations leaders to interpret data, validate findings, and drive action on quality gaps.
• Mentor junior analysts or developers as needed and contribute to team standards for code review, documentation, and AI-assisted development practices.
• Stay current on LEAD model updates, CMS quality methodology changes, and best practices in healthcare analytics.

Job Requirement: (list required education/degree, licensure, certifications, specific experience)

Required Qualifications

• Bachelor’s degree in Health Informatics, Health Information Management, Computer Science, Business Analytics, or a related field; Master’s degree preferred.
• 4+ years of experience in healthcare analytics, data science, or health information management, with demonstrated work in value-based care, ACO, or MIPS environments.
• Advanced proficiency in SQL (SQL Server, Azure Synapse, or equivalent) and Power BI (including DAX).
• Experience translating clinical specifications into measure logic and building production-ready dashboards for clinical and operational audiences.
• Familiarity with healthcare data sources (claims, EHR, ADT) and clinical terminologies (ICD-10-CM, CPT, HCPCS, LOINC, SNOMED).
• Strong communication skills with the ability to explain technical findings to clinical and executive stakeholders.

Preferred Qualifications

• Experience with post-acute or long-term care data (PointClickCare, Matrix, or similar).
• Python for data processing, NLP of clinical notes, or automation.
• Prior work supporting ACO REACH, MSSP, or similar shared-savings models.
• RHIA or similar health information credential.
• Experience mentoring teams or leading analytics projects in a healthcare setting.
• Familiarity with remote patient monitoring, chronic care management, or behavioral health integration analytics.

Physical Requirements:

1. This is a full-time remote, work-from-home position, primarily working during standard business hours handling sensitive and confidential information. Work must be performed in a private and secure setting requiring reliable internet and phone connectivity.
2. Ability to communicate via virtual/online meetings daily with a  camera on as well as being responsive in a timely manner during work hours via email, MS Teams and phone.
3. Ability  to travel quarterly for training, and meetings .
4. Ability to sit, stand, and walk for extended periods , lift and move up to 25 pounds.  

EOE/M/F/Vet/Disability:

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.