Director, Quantitative Solutions, Retailer Analytics
Cardlytics Corporation - Atlanta, GA

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Drive quantitative methodology for Retailer Analytics
  • With company growth, build and manage internal and external statistical teams
  • Design and deliver test versus control analytics for promotional programs
  • Create models and analyses optimizing offer placement, customer response, retention and revenue maximization
  • Develop targeting algorithms using the latest predictive modeling methodologies
  • Perform cluster analyses used in the creation of behavioral segments
  • Interact with and communicate with retailer analytics, retailer account management, and IT/BI
  • Produce analytical models with the goal of developing products for both internal and external audiences

  • Qualifications Exceptional Character
    • First class client service
    • Outstanding interpersonal skills
    • Leader
    • Patient and adaptable
    • Proactive problem solving capabilities
    • Entrepreneurial and team oriented spirit

    Work Experience
    • 8+ years in one or more of following areas: Financial Services Analysis, Marketing Analysis, Data Mining
    • Experience with multivariate testing
    • Segmentation analysis and customer profiling
    • Building predictive statistical models
    • Demonstrated ability to communicate complex results in a simple and concise manner
    • Proven ability to support strategic and tactical business decisions based on statistical and quantitative analysis
    • People and project management experience

    Technical Skills
    • Proficient in the use of SAS, SPSS or other leading statistical software
    • Skilled in the use of T-SQL or other related software
    • Comprehensive knowledge of advanced statistical modeling techniques (regression, decision trees, neural networks, etc.)
    • Skilled in statistical testing techniques (ANOVA, ANCOVA, T-Test, etc)
    • Microsoft Office (Excel, Word, PowerPoint and Outlook)

    Education
    • Bachelors in Statistics or relevant quantitative field (i.e. Mathematics, Economics), Masters or higher preferred.

    Compensation
    • Competitive Salary
    • Stock Options
    • Bonus Potential
    • Excellent benefits, including health and dental

    Interested candidates should send cover letter and resumes to: resumes@cardlytics.com .

    Cardlytics is an Equal Opportunity Employer

    Cardlytics Corporation - 18 months ago - save job - block
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