Senior Analyst – Financial Services Direct Mail Marketing Analytics

dentsu; 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

Paid time off

Paid holidays

Parental leave

Job summary

Merkle, a Dentsu brand, is seeking an experienced Senior Analyst in Financial Services Direct Mail Marketing Analytics. You will translate business problems into scalable analytical solutions and collaborate with cross-functional and client teams.

Responsibilities include building predictive models, ROI analyses, segmentation, A/B testing, and developing dashboards in Tableau. Expertise in SQL and Python, with BigQuery preferred, is required.

Qualifications

• Bachelor's degree required in a quantitative field.
• 4+ years of analytics, data science, or marketing analytics experience.
• Direct experience with direct mail marketing analytics and customer acquisition modeling.
• Proficiency in SQL (BigQuery preferred) and Python.
• Advanced statistics knowledge: regression, segmentation, propensity modeling, experimental design.
• Experience with Tableau or similar visualization tools.
• Strong analytical problem-solving skills and knowledge of financial services compliance requirements.

Responsibilities

• Design, build, and maintain predictive models for direct mail campaigns.
• Perform ROI, response, and attribution analyses to measure campaign impact.
• Develop customer segmentation models for targeted mail campaigns.
• Conduct A/B and multivariate testing to optimize campaigns.
• Develop and maintain statistical and ML models using Python and SQL (BigQuery preferred).
• Build simulations and forecasting apps to model campaign performance.
• Create Tableau dashboards and automated reporting for KPIs.
• Write efficient SQL queries and data pipelines for campaign data.
• Ensure data quality, harmonization, and compliance with financial services regulations.
• Design data models for real-time and historical analysis.
• Stay current on marketing analytics trends and best practices.
• Mentor junior analysts and share knowledge.

Skills

SQL

Python

Tableau

Statistical modeling

Marketing analytics

Mentoring

Education

Bachelor's degree in Data Science/Statistics/Math/CS/Analytics

Tools

Google BigQuery

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 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)

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.

Salary

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.

Location

USA - Remote - Maryland

Brand

Merkle

Time Type

Full time

Contract Type

Permanent

Equal Employment Opportunity

Dentsu is committed to 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.

Reasonable Accommodation

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