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 performanceyou 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 levelbuilding 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 Lines 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: Design and execute rigorous experiments (A/B Multivariate and Geo-Lift) to isolate the true causal impact of marketing initiatives.

• Visual Storytelling: Formulate key insights charts and reports for high-level presentations to the VP and executive leadership turning complex coefficients into business narratives.

• KPI Visibility: Increase the transparency and accuracy of core business metrics ensuring the team is making decisions based on valid and real-time data.

Requirements

• Education: B.S. or M.S. in a quantitative field (Statistics Economics Mathematics or Data Science).

• Professional Experience: 4-8 years in Marketing Analytics or Data Science with at least 3 years in a high-volume Retail/E-commerce environment.

• Strategic Acumen: Proven ability to translate complex data into business strategy and present to executive-level stakeholders. Experience working independently on analytical tasks building and optimizing big data pipelines architectures and data sets

• Experience developing and delivering exec-level presentations using insights derived from analytics

• Strong working knowledge of Microsoft PowerPoint and Excel

• Coding & Data Science: Expert proficiency in SQL and Python

• Web Analytics & BI: Expert experience with Google Analytics 4 (GA4) and a major BI/Visualization platform (preferably Looker).

• Marketing: Direct working experience with the data output of a major CRM/E-commerce platform (e.g. Commercetools Braze etc).

• Visualization: Mastery of Looker to build executive-level dashboards.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Sit for more than 6 hours per shift

• Use hands to finger handle and feel

• Reach with hands and arms

• Talk and/or hear

• Stand for up to 2 hours at a time regularly

• Walk or move from one location to another regularly

• Periodically may need to climb balance stoop kneel or crouch

• Lift and/or move up to 10 pounds regularly and up to 50 pounds occasionally

• Punctuality and regular attendance consistent with the companys policies are required for the position.

• Average workweek is 40 hours which can vary depending on business need.

• The work environment for this position is a moderately noisy office setting.

The company reserves the right to modify this job description with or without notice. Employees may be asked to perform additional duties outside of normal job scope on a temporary basis per the company policy. Pay range: $70000 - $90000 (Depending on Experience); 10% bonus target. This role will be eligible for medical dental vision 401k sick leave parental leave and company paid time off plan.

#LI-DNI

This job description is not intended to cover all aspects duties and/or responsibilities required of employees. Employees may be asked to perform additional duties outside of normal job scope on a temporary or permanent basis per company policy. The company reserves the right to modify this job description with or without notice.

EEO Statement:

The Finish Line Inc. is an Equal Employment Opportunity employer and is committed to complying with all federal state and local EEO laws. The Finish Line Inc. prohibits discrimination against employees and applicants for employment based on race or color religion or creed national origin alienage or citizenship status marital status sex pregnancy status age military status disability or any other characteristic or class protected by law. The Finish Line Inc. provides reasonable accommodations in accordance with applicable laws including for disabilities pregnancy and religious practices.

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