Senior Analyst - Financial Services Direct Mail Marketing Analytics

Dentsu International Americas; United States; Remote; USD 78,000 - 93,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

Dental insurance

Life insurance

Disability insurance

401k

Flexible PTO

15 paid holidays per year

Paid parental leave

Job summary

Dentsu International Americas is seeking a Senior Analyst - Financial Services Direct Mail Marketing Analytics to join our team. You will build predictive models for direct mail campaigns and measure ROI, attribution, and customer lifetime value.

Responsibilities include segmentation, A/B and multivariate testing, Python/SQL modeling with BigQuery, and creating Tableau dashboards. You will ensure data quality and regulatory compliance while mentoring junior analysts and sharing knowledge.

Qualifications

• Bachelor's degree in data science, statistics, mathematics, computer science, or related field.
• 4+ years of analytics, data science, or marketing analytics experience in financial services or related industry.
• Direct experience with direct mail marketing analytics, campaign optimization, or customer acquisition modeling.
• Proficiency in SQL (BigQuery strongly preferred) and 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 and working knowledge of financial services compliance requirements.

Responsibilities

• 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 to identify optimal audience segments 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 (Google BigQuery preferred).
• 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 to prepare customer and campaign data for analysis.
• Ensure data quality, harmonization, and compliance across analytical projects per financial services regulations (GLBA, FDIC, TCPA, CAN-SPAM, GDPR).
• Design and maintain data models that support real-time and historical campaign analysis.
• Stay current on industry trends in marketing analytics, machine learning, and AI.
• Mentor junior analysts and contribute to knowledge sharing initiatives.

Skills

Predictive modeling

ROI modeling

Segmentation modelling

A/B testing

Multivariate analysis

Python

SQL

Tableau

Data quality

Data modeling

Mentoring

BigQuery

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or related field

Tools

Google BigQuery

Tableau

Job description

We are seeking an experienced Senior Analyst - Financial Services Direct Mail Marketing Analytics professional to join our dynamic team.

Key Responsibilities

• 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 to identify optimal audience segments 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 (Google BigQuery preferred)
• 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 to prepare customer and campaign data for analysis
• Ensure data quality, harmonization, and compliance across analytical projects per financial services regulations (GLBA, FDIC, TCPA, CAN-SPAM, GDPR)
• Design and maintain data models that support real-time and historical campaign analysis
• Stay current on industry trends in marketing analytics, machine learning, and AI
• Mentor junior analysts and contribute to knowledge sharing initiatives

Required

• 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) and Python
• Advanced knowledge of statistical techniques: regression analysis, segmentation, propensity modeling, and experimental design
• Experience with Tableau or similar data visualization tools
• Strong analytical problem-solving skills and working knowledge of financial services compliance requirements

Preferred

• Experience with financial services products (banking, insurance, credit)
• Familiarity with marketing mix modeling (MMM) or multi-touch attribution
• Background in A/B testing and experimental design
• Knowledge of regulatory requirements (GLBA, TCPA, CAN-SPAM, GDPR)

At dentsu, we believe great work happens when we're connected. Our hybrid way of working combines remote flexibility with regular in-person collaboration to spark ideas and strengthen our teams. Many of our employees who live within commuting distance (90 minutes) from one of our Headquarter or Hub Offices (New York, Chicago, Detroit, Los Angeles) are required to work in the office 2-3 days per week including one Team Day. The minimum number of days may vary by office and role. Dentsu may designate other HQ or Hub offices at any time. Those who do not live near an office may be designated as a remote employee, depending on the role and business needs. Regardless of your work location, we expect you to be flexible to meet the needs of our Company and clients, which may include attendance in an office from time to time.

The annual salary range for this position is $78,000 -$93,338. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.

Benefits available with this position include:

• 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

Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com.

Location: USA - Remote - Pennsylvania

Brand: Merkle

Time Type: Full time

Contract Type: Permanent

Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color , national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, po