Director, Marketing Analytics

🕒 May 4

🏄 California, Colorado, +2 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $200k - $260k / year

⏰ Full Time

🔴 Lead

🎡 Marketing

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Greenlight

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

💳 Fintech

📚 Education

👥 B2C

💰 $260M Series D on 2021-04

Fintech • Education • B2C

Greenlight is a financial technology company dedicated to providing financial literacy tools and experiences for families, particularly focusing on children and teens. It offers a debit card specifically designed for kids, supported by an app that allows parents to monitor spending, automate allowances, and set savings goals. Greenlight facilitates a comprehensive learning experience by incorporating chores management, investing opportunities, and a financial education game that teaches real-world money skills. It also includes safety features such as location sharing and driving alerts to keep families connected and secure. Through partnerships with banks, the app provides various customizable plans that encourage smart financial habits from an early age.

📋 Description

• Own the measurement strategy for TV (linear and CTV/streaming), podcast, OOH, direct mail, and brand marketing channels, including methodology selection, model governance, and insight delivery. • Own the accuracy and leverage of our Marketing Mix Model (MMM) for offline and brand spend. Ensure inputs are clean and representative, outputs are properly calibrated against incrementality ground truth, and results are translated into concrete budget allocation decisions rather than sitting in a report. • Own the team-wide incrementality roadmap and methodology standards. Design and execute incrementality experiments for offline and brand channels (geo holdouts, synthetic control, matched market tests) to establish causal impact and validate MMM outputs against ground truth. Coordinate with paid digital analysts on test design and scheduling to avoid test collisions and maintain consistent methodology across online and offline. • Develop and own brand marketing measurement: brand lift studies, awareness-to-conversion funnel tracking, and long-run brand equity modeling. • Own podcast measurement, including attribution methodologies (vanity URLs, promo codes, pixel-based), reach estimation, and incrementality validation. • Translate MMM outputs and incrementality results into offline and brand budget allocation recommendations with clear confidence bounds. Decision-ready, not just slide-ready. • Develop and maintain channel-level media response curves, saturation analysis, and diminishing returns modeling for offline media to support scenario planning and spend optimization. • Partner with media buyers and marketing leadership to scope offline and brand measurement roadmaps, pressure-test interpretations, and ensure findings actually change how we invest. • Own and present a rolling incrementality roadmap to marketing leadership on a monthly cadence: what's been tested, what results mean for spend, and what's next. This is a recurring executive deliverable, not a one-off. • Dive deeply into offline and brand channel performance problems. Diagnose what's working, what isn't, and why. Deliver clear, actionable optimization recommendations that improve spend efficiency and channel effectiveness. • Identify data quality and tracking gaps specific to offline channels and drive the fixes, from S3 data ingestion (Tatari and similar) to upstream tagging and pipeline integrity. • Build scalable, reusable dbt models that encode offline and brand channel measurement logic for use across dashboards, reporting, and stakeholder self-serve. • Work in Snowflake, Python, and our Databricks environment to build and maintain the data pipelines and models that underpin offline and brand measurement. • Build and maintain Tableau dashboards that give marketing leadership a clear, reliable view of offline and brand channel performance and ROI. • Use AI fluently as a daily productivity layer: accelerating SQL, automating documentation, stress-testing model assumptions, and finding faster paths to answers. • Contribute to how the Marketing Science team builds and shares AI-assisted analytical workflows, not just as a user but as a practitioner who helps raise the floor.

🎯 Requirements

• 8+ years of experience in marketing analytics or marketing science, with the majority of that time focused on offline and brand channels: TV (linear and/or streaming), podcast, radio, OOH, direct mail, or similar. You should have seen these measurement problems at a meaningful scale. • Deep, hands-on Marketing Mix Modeling experience for offline and brand spend. You understand how MMMs are built, what the inputs require, where they break down, and how to validate outputs against incrementality ground truth. • Proven incrementality testing experience for offline channels: geo holdouts, matched market design, synthetic control, difference-in-differences. You know how to design a test with appropriate power and interpret results honestly. • Strong SQL and data modeling skills. You write clean, efficient queries across complex schemas and can build analytics logic that others can maintain. dbt experience is a strong plus. • Python proficiency for analytical work: statistical modeling, data manipulation, and automation. You write readable code that a teammate can pick up. • Strong communicator. You have presented offline and brand measurement findings and budget recommendations to CMO-level stakeholders and know how to land technical results as decisions, not just data. • Comfortable operating without a manager-level data layer between you and the problem. You scope your own work, define your own roadmap, and drive to a conclusion without a lot of hand-holding. • Experience with TV measurement platforms and data providers: Tatari, iSpot, VideoAmp, Nielsen, or similar.

🏖️ Benefits

• Medical, dental, vision, and HSA match • Paid life insurance, AD&D, and disability benefits • Traditional 401k with company match • Unlimited PTO • Paid company holidays and pop-up bonus holidays • Professional development stipends • Mental health resources • 1:1 financial planners • Fertility healthcare • 100% paid parental and caregiving leave, plus cleaning service and meals during your leave • Flexible WFH, both remote and in-office opportunities • Fully stocked kitchen, catered lunches, and occasional in-office happy hours • Employee resource groups