Your day-to-day will involve: Supporting CRM analytics: measuring campaign effectiveness, audience segmentation, lifecycle reporting, and engagement across email, push, and in-app channels. Supporting paid channel performance reporting across growth marketing (Meta, Google, CTV, affiliates, OOH), tracking CAC, LTV, payback period, and funnel conversion metrics. Building and maintaining dashboards in Tableau that surface growth and CRM KPIs to marketing and leadership stakeholders. Running data pulls, user list generation, and ad-hoc queries to support day-to-day marketing decisions and campaign targeting. Helping maintain attribution reporting pipelines and flagging data quality issues as they arise. Partnering with senior analysts on dbt model contributions and learning how business logic is encoded into scalable, reusable analytics models over time. Keeping documentation current on reports, dashboards, and metric definitions so that stakeholders can self-serve confidently. Bringing structure to ambiguous requests and clarifying questions before jumping to answers.

What you'll bring to the team: A bachelor's degree in Statistics, Data Science, Economics, Mathematics, Computer Science, or a related quantitative field. Coursework, academic projects, internships, or self-directed work that demonstrates you can write SQL queries, think through data problems, and pull meaningful signal from messy data. Ability to create clear, effective data visualizations, select appropriate chart types, and communicate insights to non-technical audiences. Proactive mindset with the ability to identify opportunities, investigate anomalies, and take initiative without waiting for direction. Demonstrated AI proficiency: a project, coursework, or self-directed work where you used Claude or a similar AI tool to do something analytical.

Preferred experience: Internship or project experience in a marketing, growth, CRM, or web analytics context. Familiarity with marketing metrics: CAC, LTV, ROAS, conversion rates, attribution models, or cohort analysis. Exposure to dbt or data modeling concepts (dimensional modeling, metric definitions, semantic layers). Python experience for data manipulation, scripting, or automation. Experience with Tableau, Looker, or another BI tool beyond coursework. Participation in data competitions, open-source projects, or self-directed analytical work that demonstrates intellectual curiosity outside the classroom.

Work perks at Greenlight: 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.

Our stance on salaries: Greenlight provides a competitive compensation package with a market-based approach to pay and will vary depending on your location, experience, and skill set. The total compensation package for this position will also include a discretionary performance bonus, equity rewards, medical benefits, 401K match, and more. Greenlight conducts continuous compensation evaluations across departments and geographies to ensure we are keeping our pay current and competitive. The estimated base pay range for this position in (NY, CA, WA): $65,000- 90,000. The estimated base pay range for this position in (CO): $65,000- 80,000.

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