Senior BI Analyst
- Toronto, ON
- Senior
- Posted 4 days ago
or apply from Claude / ChatGPT / Muse
Senior BI Analyst is a role in Toronto, ON at a retail and loyalty company.
About the role
Suits someone who likes translating business questions into data models and dashboards, and who can explain the numbers to people outside analytics.
At a glance
- Pay
- Not stated in the posting
- Location
- Toronto, ON
- Seniority
- Senior
- Skills
- SQL, Python, PySpark, Azure Synapse, Microsoft Fabric, Databricks, Power BI, DAX
- Posted
- 31 Oct 2026
- Last checked
- 3 Nov 2026
What you will do
- Work with business teams to turn reporting questions into data and visualization solutions
- Build and maintain automated pipelines and curated datasets with SQL, Python or PySpark
- Create Power BI dashboards, scorecards, DAX measures and drill-through views
- Design dimensional models, star schemas and semantic models for self-service reporting
- Check data quality and run analysis of campaign, customer and promotional performance
What they look for
- Degree in statistics, maths, data science, computer science, economics or a similar quantitative field
- Three or more years in analytics, BI, marketing analytics or performance measurement
- Strong SQL for querying, transforming and validating large datasets
- Hands-on Power BI work covering data modeling, DAX, report design and dashboards
- Experience with Databricks and cloud analytics platforms, plus clear communication with non-technical stakeholders
Nice to have
- Familiarity with Azure Synapse or Microsoft Fabric
Benefits
- Competitive pay
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.
Apply with Keywordise AI7-day free trial, no card.
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 z2bgpfzju6Questions about this job
Where is this job based?
The posting lists Senior BI Analyst as a role based in Toronto, ON, Canada.
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: degree in statistics, maths, data science, computer science, economics or a similar quantitative field; three or more years in analytics, BI, marketing analytics or performance measurement; strong SQL for querying, transforming and validating large datasets. Skills it names include SQL, Python, PySpark, Azure Synapse.
How do I apply with Keywordise AI?
Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.
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