The Challenge
JD Finish Line is building a world-class growth analytics function from the ground up. You'll own the quantitative engine that drives millions in annual marketing spend—building MMM, attribution, and predictive models that move the needle on CAC and CLV.
Your Mission
Audit current analytics stack (Looker, BigQuery, GA4, Meta, Google) and propose a unified data architecture for cross-channel measurement
Design and scope a Market Mix Modeling (MMM) framework to inform quarterly budget allocation across Paid, Owned, and Earned channels
Launch first geo-lift test on a major paid campaign to establish ground truth on incrementality vs. baseline attribution models
Build churn prediction model in collaboration with CRM/Retention team to feed propensity scores into Braze
Deploy production MMM model with quarterly refresh cycle advising VP on media mix optimization and budget reallocation
Implement multi-touch attribution (MTA) framework replacing last-click reporting; document 15%+ CAC efficiency gains vs. previous model
Operationalize CLV and Next-Best-Action predictive models feeding real-time segments into Braze for 1-to-1 personalization at scale
Establish quarterly incrementality testing cadence (3+ lift studies) across Meta, Google, and brand campaigns; publish insights playbook
KPIs You'll Own
Blended Customer Acquisition Cost (CAC)
Track month-over-month CAC across paid channels; optimize bid strategy and budget allocation based on MMM and MTA insights.
Customer Lifetime Value (CLV) by Cohort
Predict and monitor CLV across acquisition channels and customer segments; feed into paid media targeting and retention prioritization.
Churn Rate & Retention Lift
Measure impact of predictive churn models and personalized retention campaigns powered by propensity scoring.
Incrementality (True Causal Impact)
Validate paid media effectiveness through geo-lift, DDA, and holdout tests; quantify incremental revenue vs. baseline attribution.
Model Accuracy & Lift vs. Baseline
Track MTA, MMM, and propensity model performance; measure lift in decision-making speed and confidence vs. legacy reporting.
Tools & Stack
Your Team
Your Manager
VP, Digital Marketing
Current Team
Paid Media team, CRM/Lifecycle team, Data/Analytics infrastructure
New role to build out growth analytics function as primary quantitative leader
The Package
Salary
$130K-$165K base
Remote
On-site in Boulder, CO; Full-time
Benefits & Perks
Company Intelligence
JD Finish Line is a retail/ecommerce company optimizing customer acquisition and lifetime value at scale. The organization is operationalizing advanced marketing science practices to drive profitable growth across digital channels.
Culture
Customer-first, performance-driven, community-focused; core values include Winning and Financial Responsibility
Is This Role For You?
- You've built or owned MMM, MTA, or incrementality testing frameworks in a production environment (retail, ecommerce, or high-volume digital preferred)
- You're fluent in SQL, Python/R, and statistical modeling; comfortable translating math into actionable strategy for non-technical stakeholders
- You thrive as a strategic partner, not just a reporter—you want to shape marketing strategy through data architecture, not just react to requests
- You've operationalized predictive models (churn, CLV, propensity) in marketing automation platforms or CRM systems at scale
- You're looking for a pure reporting/BI analyst role—this is a strategic modeling and growth engineering position with high ownership expectations
- You lack hands-on experience building statistical models (MMM, MTA, propensity scoring) or incrementality testing frameworks from scratch
- You're not comfortable taking ownership of foundational work—this is building the analytics function, not inheriting a mature one
Interview Process
Initial Screening
Recruiter call to assess background in marketing science, modeling, and growth analytics; discuss specific projects (MMM, lift tests, attribution)
Technical Deep Dive
Conversation with VP or Head of Analytics on statistical modeling approach, tool stack decisions, and how you'd architect measurement for their organization
Case Study / Take-Home
Short assignment: Design an MMM or incrementality testing framework for a sample marketing scenario; walk through methodology and recommendations
Executive Round
Conversation with VP, Digital Marketing to discuss strategic vision, partnership style, and how you'd operationalize insights across teams
Interested in this role?
Apply now and hear back within days, not weeks.
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About Growth Marketing Roles
Growth marketers drive user acquisition, activation, and retention through data-driven experimentation. They sit at the intersection of product, data, and marketing — running A/B tests, building funnels, and scaling what works.