Senior Analytics Solutions Engineer
- Remote, worldwide
- Full-time
- Senior
- Posted 3 days ago
or apply from Claude / ChatGPT / Muse
Senior role on a visual insights team, building reporting products and data models in Azure Databricks and Power BI for pharmacy programs.
About the role
Ownership covers standardized reporting and analytics for a pharmacy program and related work. The job sits where analytics engineering, semantic modeling and AI-assisted analytics meet, not just dashboard building.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, worldwide
- Seniority
- Senior
- Employment
- Full-time
- Skills
- Azure Databricks, SQL, Power BI, Semantic modeling, Data visualization, Analytics engineering
- Posted
- 26 Oct 2026
- Last checked
- 29 Oct 2026
What you will do
- Design and maintain standard reports and analytics for a pharmacy program and future related work.
- Build analytics-ready data in Azure Databricks and SQL, covering transformation, modeling and validation.
- Create Power BI reports, semantic models, measures and visuals that give consistent views of performance.
- Turn recurring analytical needs into reusable datasets, metrics and reporting patterns.
What they look for
- Five or more years in business intelligence, analytics, data engineering or data visualization.
- Three or more years with Power BI or a similar BI platform, building reports and data models.
- A record of turning complex data into clear insights and translating requirements into solutions.
Nice to have
- Experience with AI-enabled or conversational analytics.
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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Apply from your AI assistant
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 f54va5sbivQuestions about this job
Is this a remote job, and where can I work from?
The posting lists it as remote with no single country named, so candidates from different countries can apply.
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: five or more years in business intelligence, analytics, data engineering or data visualization; three or more years with Power BI or a similar BI platform, building reports and data models; a record of turning complex data into clear insights and translating requirements into solutions. Skills it names include Azure Databricks, SQL, Power BI, Semantic modeling.
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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