Senior Analyst, Financial Services Direct Mail Marketing Analytics
- Remote, United States
- Senior
- Posted 6 days ago
or apply from Claude / ChatGPT / Muse
Senior analytics role focused on direct mail campaigns for financial services clients, building models and dashboards; hybrid with a few days a week in an office for those who live nearby.
About the role
Predictive modeling for direct mail response, conversion and customer lifetime value sits at the center of the job, along with segmentation and testing that shape which audiences get mailed.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- SQL, Python, Google BigQuery, Tableau, Regression analysis, Segmentation, Propensity modeling, Experimental design
- Posted
- 29 Oct 2026
- Last checked
- 2 Nov 2026
What you will do
- Build and maintain models that predict mail response, conversion and customer lifetime value
- Run response analysis, ROI modeling and attribution to show what campaigns contributed
- Create segmentation models that pick the best audiences for targeted mailings
- Use Python and SQL, with Google BigQuery preferred, for statistical and machine learning work
- Build Tableau dashboards and automated reporting that track campaign metrics and KPIs
What they look for
- Degree in data science, statistics, math, computer science or business analytics
- At least 4 years in analytics, data science or marketing analytics, ideally in financial services
- Hands-on direct mail analytics, campaign optimization or customer acquisition modeling
- Strong SQL and Python, plus regression, segmentation, propensity modeling and experimental design
- Experience with Tableau or similar visualization tools and grasp of financial services compliance rules
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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- 3The form fills itselfName, email, experience and screening questions, field by field.
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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.
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- 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 bc3pl6rzcbQuestions about this job
Is this job fully remote, and from where?
Yes, it is listed as remote, aimed at candidates in the United States.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
It is a senior role. The posting asks for: degree in data science, statistics, math, computer science or business analytics; at least 4 years in analytics, data science or marketing analytics, ideally in financial services; hands-on direct mail analytics, campaign optimization or customer acquisition modeling. Skills it names include SQL, Python, Google BigQuery, 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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