Customer Analytics/Stats Modeler
Aginity - Evanston, IL

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If the phrase “customer database marketing / statistical behavioral analytics” brings a smile to your face…
  • If “Monte Carlo” is more than a beautiful gambling destination for the rich and famous…
  • If you know that “SQL” is not a typo…
  • Then we'd like to talk with you about joining our team.

    The high-level job description is simple: design, construct, and implement advanced customer data analytic models. The devil, as they say, is in the details and that’s where you come in. Worry not, though, because you will learn a lot from us - we've developed some very unique IP - and we'll learn a lot from you!

    You Are:
    • A champion for the use of data to drive decision making across the company.
    • A professional who works closely with clients to solve complex problems involving data analytics
    • Excited about comparing customer behavior by channel to help improve marketing and merchandising efforts.
    • Curious and passionate about data and discovering new trends and insights across customers, merchandise and more
    • Proficient in pulling data, running reports, creating segmentations and performing research.
    • Capable of creating complex campaign segmentations, trigger based campaigns, troubleshooting data inconsistencies if they arise, and helping other team members learn and use the system to whatever degree is needed.
    • Can create and own the customer insight process through which our clients receive analytical understanding of regarding the business, customer, merchandise, marketing performance and more.
    • Experienced in building and managing a high performing, analytical team that supports and pushes the business to excel.
    • Skilled at analyzing demographic and psychographic variables to develop customer profiles.
    You May Have Held Titles Like:
    • Data Analyst
    • Director of Customer / Retail Insights and Analytics
    • Director, Consulting and Analytical Solutions
    • Senior Analyst
    • Statistical Modeler
    You Have Knowledge and Skills Like: Junior level:
    • BA/BS/MS - Stats, Applied Mathematics, Operations Research, Economics, Industrial Engineering
    • Knowledge of the principles of statistical analysis, including descriptive and predictive model construction.
    • Relevant internship or research project experience with end-consumer analytics using large databases (at least 1MM rows).
    • Statistical modeling with SAS, SPSS, R, or equivalent.
    • Database analysis using the same modeling tools.
    • Basic SQL coding; additional programming experience helpful but not necessary.
    Intermediate level - all of the above plus:
    • 3-5 years’ additional experience building descriptive analytics, propensity models, and predictive models working with consumer data.
    • Able to explain what the math means to a non-mathematical business person.
    • Evidence (via specific project examples) of innovative application of analytic techniques to solve hairy problems.
    • Experience building models with large data bases of consumer activity - POS transactions, online transactions, loyalty program activity, email open/click-through.
    • Call center, customer survey, or other semi-structured data analytics.
    • Customer database marketing / customer intelligence /customer relationship management
    • Behavioral targeting.
    • Ability to create visual representations of data (using the aforementioned stats tools, plus Excel, PowerPoint, Tableau, and similar).
    Senior level - all of the above plus:
    • An additional 3-5 years of experience leading teams of analysts performing all these tasks.
    • Solid understanding of the principles, strengths and shortcomings of a wide range of analytic techniques, including regression (in its multiple forms), time series analysis, Monte Carlo simulation, clustering and segmentation techniques (including K-means), simulation modeling, multi-objective optimization techniques (including simplex), and so on.
    • Ability to teach and explain - both technical and business. The ideal candidate is equally comfortable training more junior members of a team how to apply these various complex formulations to solving a problem, and explaining the business meaning of those complex formulations to senior executives.
    • Online data analytics (SEM, display ad click through, etc.).
    • Social and/or text analytics.
    • Analysis of mobile shopping or mobile application activity.

    Aginity - 17 months ago - save job - block