Job description

Job Description: We are seeking an experienced Senior Analyst – Financial Services Direct Mail Marketing Analytics professional to join our dynamic team. The ideal candidate will possess a strong quantitative background, and the ability to translate business problems into scalable analytical solutions. This individual will work closely with cross-functional and client teams. 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) 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, and • 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. To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps. #LI-AB2 #LI-Remote Location: USA - Remote - Maryland 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, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.   Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to  ApplicantAccommodations dentsu.com  by clicking on the link to let us  know the nature of your accommodation request and your contact information. We are here to support you.

Requirements

Must-haves

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

Nice-to-haves

Develop, implement, and maintain statistical and machine learning models using Python and SQL (Google BigQuery preferred)
Proficiency in SQL (Google BigQuery strongly preferred) and Python
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)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonsqlai

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off

Parental Leave