Principal Marketing Analytics Partner

| Austin, TX
Sorry, this job was removed at 9:35 a.m. (CST) on Monday, March 28, 2022
Find out who's hiring remotely in Austin, TX.
See all Remote Marketing jobs in Austin, TX
Apply
By clicking Apply Now you agree to share your profile information with the hiring company.

Responsible for delivering data-driven, actionable insights to help optimize the business. Analyzes a variety of market, competitor, behavioral, and transactional data to enhance understanding of overall business performance and optimize planning for various marketing initiative and programs. Develops data-driven reports and analyses according to established timelines. Provides ad-hoc assessments and reports as requested.

Responsibilities

The following duties are essential in successful execution of the position:

  • Build, maintain and evolve models that measures impact of marketing activities like media, promotions, pricing, in partnership with Whole Foods and Amazon data science teams.
  • Manage modeling processes from end-to-end including data gathering, data validation, model building, calibration, cross-validation, and maximizing model accuracy. Interpret and validate model results with statistical checks. Design reports, data visualizations and presentations to track model performance and communicate business impact to marketing leadership teams. 
  • Translate strategic business questions into analyses that inform business decisions. Explain complex modeling approaches in simple terms; Develop compelling narratives that connect modeling results with marketing problems.
  • Work closely with marketing teams at Whole foods to ensure that analytical products support organizational goals and solve key business problems.
  • Build & maintains strong working relationships across departments or teams based on trust and mutual respect. Communicate with senior stakeholder to balance stakeholder and analytics perspectives.

Desired Skills & Experience

  • Master’s degree in a quantitative discipline (e.g., data science, statistics, applied mathematics, or economics). PhD preferred.
  • 5+ years of hands-on experience developing advanced marketing measurement methods and customer based predictive models.
  • Experience in building marketing mix and media attribution models preferred.
  • Working knowledge of supervised (GLM, Classification models, Ensemble techniques, Regularization techniques, Bayesian Models, Hierarchical models etc.) and unsupervised models (Clustering, Principal Component Analysis, etc.).
  • Proficient coding skills in Python and SQL. Experience building models in AWS and working with enterprise scale databases is strongly preferred.
  • Experience with various types of marketing data like media (e. g., IRI, Kantar, Nielsen), digital audience (e. g., DMPs), ad-serving (e.g., Google DCM, Atlas), and digital clickstream (e.g., Google Analytics, Adobe).
  • Self-directed, innovative thinker with a curious mind, a passion for synthesizing information from multiple sources, the ability to interpret data through the lens of shopper behavior, and a habit of translating data into insights that drive action.
  • Strong communication and presentation skills along with ability to partner with internal stakeholders to shape marketing strategy and planning.

At Whole Foods Market, we provide a fair and equal employment opportunity for all Team Members and candidates regardless of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity/expression, age, marital status, disability, or any other legally protected characteristic. Whole Foods Market hires and promotes individuals solely based on qualifications for the position to be filled and business needs.

Read Full Job Description
Apply Now
By clicking Apply Now you agree to share your profile information with the hiring company.

Similar Jobs

Apply Now
By clicking Apply Now you agree to share your profile information with the hiring company.
Learn more about Whole Foods MarketFind similar jobs