Senior Marketing Science Analyst

** We are seeking a highly analytical and strategic individual to serve as the primary quantitative leader for our Digital Marketing organization. As the Senior Marketing Science Analyst, you will build and own the growth analytics function, setting the foundation for how we measure, model, and make decisions across the entire digital business - building the predictive models (Retention/Churn, CLV) and incrementality frameworks (MMM/Geo-Lift/DDA) that dictate how we spend our next million dollars.

As a direct report to the VP, you are not just a reporter of performance—you are a strategist who uses advanced mathematics to engineer growth and operationalize insights across every digital touchpoint.
**** This is a high-impact, performance-based role designed to move beyond standard reporting. While we have established baseline infrastructure, you are expected to take our capabilities to the next level—building the predictive and causal models that directly engineer profitable growth. You will serve as the "analytical architect," responsible for unlocking deep customer insights, increasing the validity and speed of our KPIs, and translating complex data into clear, actionable strategies for the VP and broader marketing team.*
* ** This individual will effectively exhibit JD Finish Line’s core values of Customer, People, Winning, Community, and Financial Responsibility in everything they do by performing the following main duties:**###
**** Growth & Performance Architecture****
* ** Strategic Partnership:
Act as the primary analytical partner for paid and retention channel owners to optimize performance and unlock channel-level efficiencies.**
* ** Full-Funnel Ownership:
Build and own the marketing analytics function, establishing how we measure the core drivers of the business and the impact of our actions on those drivers.**
* ** Advanced Attribution:
Transition the organization from baseline models to sophisticated Multi-Touch Attribution (MTA) and Market Mix Modeling (MMM) to drive profitable acquisition.**
* ** Incrementality Testing:
Design and lead "Scientific Lift" studies (e.g. Geo-tests) to measure the true causal impact of Meta, Google, and Brand campaigns.**
* ** Market Mix Modeling (MMM):
Maintain the statistical model that advises the VP on quarterly budget shifts between Paid, Owned, and Earned media.**
* ** Full-Funnel Attribution:
Manage the transition from basic last-click reporting to a multi-touch, data-driven attribution (DDA) model.
****** Customer Science & Program Development****
* ** Model Development:
Lead the development of programs that target customers across the full lifecycle using advanced statistical modeling, machine learning, and propensity scoring.**
* ** Predictive Insights:
Build and maintain predictive models (Churn, CLV, Next-Best-Action) that allow the CRM/retention team to automate 1-to-1 personalization.**
* ** Data Harmonization:
Collect, harmonize, and review data across disparate sources (Commerce Tools, Looker/Big Query, Meta, GA4, Braze) to ensure a unified view of the customer.**## ##
**** Strategic Partnership & Team Enablement***** ##
** Paid Media/Acquisition:
Provide the Paid Media team with data-driven insights on bid optimization, budget allocation, and target audiences derived from MMM, MTA and CLV forecasts to lower blended Customer Acquisition Cost (CAC) while scaling volume.*** ##
** CRM/Retention:
Collaborate closely with the CRM/Lifecycle team to operationalize models by feeding predictive scores directly into segmentation and personalization engines (e.g., Braze) to maximize conversion and retention rates.*** ##
** Executive Insight:
Serve as the strategic analytical consultant to leadership, translating complex mathematical findings into clear, concise, and actionable business recommendations for investment decisions.*** ##
** Data Strategy:
Partner with Data Engineering and IT teams to architect and ensure the integrity, governance, and flow of data from raw sources (E-commerce platform, Ad Platforms, appsflyer, etc) into the cloud data warehouse for modeling purposes.
****** Experimentation & Rigorous Analysis****
* ** Scientific Testing:
Desi…