Senior Data Analyst, Lifecycle Marketing
- Remote, worldwide
- Senior
- Posted 2 days ago
or apply from Claude / ChatGPT / Muse
Senior analyst who partners with the retention marketing team, measuring email, SMS and app campaigns and building dashboards; remote-friendly US retail setting.
About the role
Lifecycle and engagement analytics, from churn and reactivation to lifetime value, with models and dashboards that let marketing and finance teams make decisions on their own.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, worldwide
- Seniority
- Senior
- Skills
- SQL, Snowflake, Looker, Tableau, Domo, CRM segmentation
- Posted
- 27 Oct 2026
- Last checked
- 29 Oct 2026
What you will do
- Run analytics projects end to end that shape business and product strategy
- Build and maintain dashboards, models and datasets so teams can self-serve
- Measure email, SMS and app campaign performance and lifecycle KPIs like churn and reactivation
- Work with finance to size and forecast the financial effect of decisions
- Track down data quality problems and fix inconsistencies across source systems
What they look for
- Seven or more years in data analytics with a record of business impact
- An MBA focused on analytics, strategy or another quantitative area
- Advanced SQL plus cloud data warehouses such as Snowflake
- Hands-on with a visualization tool such as Looker, Tableau or Domo
- Able to turn business questions into analytical frameworks and clear recommendations
A typical week
- Partnering with retention marketing on campaign measurement and segmentation
- Writing SQL and maintaining dashboards for lifecycle KPIs
- Answering ad hoc analytical requests with business context
- Meeting cross-functional stakeholders to align on priorities
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 nnrnoomwjwQuestions 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: seven or more years in data analytics with a record of business impact; an MBA focused on analytics, strategy or another quantitative area; advanced SQL plus cloud data warehouses such as Snowflake. Skills it names include SQL, Snowflake, Looker, Tableau.
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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