Data Analyst III, PBM Client Success
- USD 95,000 to 135,000 per year
- Remote, worldwide
- Full-time
- Senior
- Posted 9 days ago
or apply from Claude / ChatGPT / Muse
Full-time analyst on a data and insights team, building analyses that show clients and partners the impact of pharmacy benefit programs.
About the role
Suits a quantitative analyst who can turn large claims datasets into clear findings and defend them in client calls, while guiding less experienced analysts on standards.
At a glance
- Pay
- USD 95,000 to 135,000 per year
- Remote scope
- Remote, worldwide
- Seniority
- Senior
- Employment
- Full-time
- Skills
- SQL, Python, dbt, AWS, Relational databases, Statistical analysis, Version control
- Posted
- 20 Oct 2026
- Last checked
- 29 Oct 2026
What you will do
- Build analyses on how members engage with the company's application
- Work with other teams to turn data into useful insights and make data processes scale
- Use statistical methods to measure how well clinical management programs work and set repeatable measures
- Lead analytic frameworks and methods for strategic initiatives
- Present results to internal stakeholders and adjust reporting from their feedback
What they look for
- Expert SQL skills
- Comfort with relational databases and how they are structured
- A degree in analytics, computer science or a related field, or equivalent experience
- Four to six years in quantitative analytics and advanced modeling on large datasets
- Four or more years querying and analyzing pharmacy benefit management claims data
Nice to have
- Experience in clinical navigation
- Five or more years in pharmacy benefit management
- Python skills
- Version control experience
Benefits
- Annual salary of $95,000 to $135,000
- Bonus and equity
A typical week
- Query claims data and check results against third party sources
- Meet client teams and walk through trends and business reviews
- Document requirements from clients and internal partners
- Review junior analysts' work and set standards
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
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- 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 vw5zle4tqpQuestions about this job
Is this job fully remote, and from where?
Yes. The posting lists Data Analyst III, PBM Client Success as a remote role open to candidates worldwide.
What does this job pay?
The posting states USD 95,000 to 135,000 per year.
What experience is needed?
It is a senior role. The posting asks for: expert SQL skills; comfort with relational databases and how they are structured; a degree in analytics, computer science or a related field, or equivalent experience. Skills it names include SQL, Python, dbt, AWS.
How do I apply with Keywordise AI?
Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.
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