USA - Remote - Maryland / Insights & Analysis

Merkle Inc.

Northern (KY)

Hybride

USD 78 000 - 93 000

Plein temps

Il y a 16 heures
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Avantages offerts par ce poste

Medical, vision, and dental insurance
Disability insurance
Flexible paid time off
15 paid holidays per year
Paid sick leave

Résumé du poste

Merkle Inc. is seeking an experienced Senior Analyst – Financial Services Direct Mail Marketing Analytics to join our team.

You will design and maintain predictive models for direct mail campaigns, analyze ROI, and translate business problems into scalable analytics. You will work with cross-functional teams, develop segmentation models, perform A/B tests, build data pipelines in SQL/BigQuery, and create Tableau dashboards while ensuring data quality and compliance with GLBA, FDIC, TCPA,

Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or related field
  • 4+ years of analytics 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 preferred) and Python
  • Advanced knowledge of regression, segmentation, propensity modeling, and experimental design
  • Experience with Tableau or similar data visualization tools
  • Strong analytical problem-solving skills and knowledge of financial services compliance requirements

Responsabilités

  • 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
  • Develop customer segmentation models to identify optimal audience segments
  • Conduct A/B testing and multivariate analysis to optimize creative, messaging, offers, and targeting strategies
  • Develop and maintain statistical and machine learning models using Python and SQL (BigQuery)
  • Build simulation and forecasting applications to model campaign performance scenarios
  • Create Tableau dashboards and automated reporting to track campaign metrics and KPIs
  • Write efficient SQL queries and data transformation pipelines for analysis
  • Ensure data quality, harmonization, and compliance across analytical projects per regulations
  • Design and maintain data models supporting real-time and historical campaign analysis
  • Stay current on industry trends in marketing analytics, ML and AI
  • Mentor junior analysts and contribute to knowledge sharing initiatives

Connaissances

SQL
Python
Statistical methods
Experiment design
Segmentation
Propensity modeling
A/B testing
Data visualization

Formation

Bachelor's degree

Outils

Google BigQuery
Tableau

Description du poste

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

The ideal candidate willpossessa strong quantitative background, and the ability to translate business problems into scalable analytical solutions. This individual will work closely with cross-functionaland clientteams.

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,
  • Short-term and long-term disability insurance,
  • Flexible paid time off,
  • At least 15 paid holidays per year,
  • Paid sick and safe leave, and

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.

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