DentsuHiring

Senior Analyst, Financial Services Direct Mail Marketing Analytics

  • Remote, United States
  • Senior
  • Posted 6 days ago
In one line

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

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Questions 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.

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