Senior Risk Adjustment Solutions Analyst
- Remote, United States
- Senior
- Posted 2 weeks ago
or apply from Claude / ChatGPT / Muse
Senior analyst role on a data analytics team, focused on Medicare Advantage and ACA risk adjustment, turning claims and CMS data into insights for health plan clients.
About the role
Own risk adjustment analytics and strategy, from RAF opportunity analysis to CMS data reporting, and act as the subject matter expert for clients and internal teams.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- SQL, CMS-HCC, RxHCC, Medicare Advantage, ACA Risk Adjustment, HEDIS, MMR, MOR
- Posted
- 7 Oct 2026
- Last checked
- 19 Oct 2026
What you will do
- Analyze Medicare Advantage and ACA risk adjustment performance to find RAF and revenue opportunities
- Work with CMS-HCC and RxHCC models and advise on Medicare risk adjustment methods
- Clean, reconcile and validate large datasets covering claims, encounters, eligibility, pharmacy and medical records
- Write and tune complex SQL queries, stored procedures and extraction processes
- Build scorecards, dashboards and ad hoc reports, and explain findings to clients and executives
What they look for
- At least five years in healthcare data analytics, including mining, mapping, validation and reporting
- Three or more years working hands-on with Medicare Advantage or ACA risk adjustment
- Three or more years as a healthcare data analyst with advanced SQL development
Nice to have
- Familiarity with HEDIS and healthcare quality measures
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
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Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job eokzjoqu2iQuestions about this job
Can I do this job remotely, and from which countries?
Yes, it is listed as remote, aimed at candidates in the United States.
What does this job pay?
No pay range is stated in the posting.
What experience is needed?
It is a senior role. The posting asks for: at least five years in healthcare data analytics, including mining, mapping, validation and reporting; three or more years working hands-on with Medicare Advantage or ACA risk adjustment; three or more years as a healthcare data analyst with advanced SQL development. Skills it names include SQL, CMS-HCC, RxHCC, Medicare Advantage.
How do I apply with Keywordise AI?
Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.
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