Senior Analyst – Financial Services Direct Mail Marketing Analytics

dentsu Austria

. Design, build, and maintain predictive models for direct mail campaign response rates, conversion, and customer lifetime value .

Posted 10/8/2026full-timeRemote • Maryland • United StatesSenior💰 $78,000 - $93,338 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in predictive modeling, customer segmentation, and campaign optimization using Python and SQL, with a strong focus on data quality and compliance in financial services. Proficient in A/B testing, regression analysis, and data visualization to drive marketing effectiveness.

Highest-signal resume keywords

Predictive ModelingCustomer SegmentationSQL ProficiencyPython ProficiencyTableau Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingCustomer SegmentationRegression AnalysisA/B TestingSQLPythonData TransformationCampaign OptimizationStatistical ModelingMachine Learning

Soft Skills

Analytical Problem-SolvingMentoring

Tools & Technologies

TableauGoogle BigQuery

Industry Keywords

Financial ServicesDirect Mail MarketingCampaign AnalyticsCompliance RequirementsMarketing Mix ModelingMulti-Touch AttributionGLBATCPACAN-SPAMGDPR

Tech Stack

Tools & technologies

BigQueryPythonSQLTableau

About the role

Key responsibilities & impact

Design, build, and maintain predictive models for direct mail campaign response rates, conversion, and customer lifetime value
Perform response analysis, ROI modeling, and attribution to measure campaign effectiveness and contribution to marketing mix
Develop customer segmentation models for targeted mail campaigns
Conduct A/B testing and multivariate analysis to optimize creative, messaging, offers, and targeting strategies
Develop, implement, and maintain statistical and machine learning models using Python and SQL
Build simulation and forecasting applications to model campaign performance scenarios and optimize mailing lists
Create Tableau dashboards and automated reporting to track campaign metrics and KPIs
Write efficient SQL queries and build data transformation pipelines for customer and campaign data
Ensure data quality, harmonization, and compliance across analytical projects
Design and maintain data models supporting real-time and historical campaign analysis
Stay current on marketing analytics, machine learning, and AI trends
Mentor junior analysts and contribute to knowledge sharing initiatives
Work closely with cross-functional and client teams

Requirements

What you’ll need

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or related field
4+ years of experience in analytics, data science, or marketing analytics in financial services or related industry
Direct experience with direct mail marketing analytics, campaign optimization, or customer acquisition modeling
Proficiency in SQL; Google BigQuery strongly preferred
Proficiency in Python
Advanced knowledge of regression analysis, segmentation, propensity modeling, and experimental design
Experience with Tableau or similar data visualization tools
Strong analytical problem-solving skills
Working knowledge of financial services compliance requirements
Preferred: Experience with financial services products such as banking, insurance, or credit
Preferred: Familiarity with marketing mix modeling or multi-touch attribution
Preferred: Background in A/B testing and experimental design
Preferred: Knowledge of GLBA, TCPA, CAN-SPAM, and GDPR regulatory requirements

Benefits

Comp & perks

Medical, vision, and dental insurance
Life insurance
Short-term and long-term disability insurance
401k
Flexible paid time off
At least 15 paid holidays per year
Paid sick and safe leave
Paid parental leave
Employee leave benefits in accordance with applicable state and local laws and company plans and policies