Principal Marketing Analytics Partner
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.