We are looking for a Data Analyst to join our Marketing Science team. This is a mid-level IC role for someone who has moved past the fundamentals and is ready to own a domain end-to-end. You will be the analytical lead across growth marketing, registration, and website analytics, setting the measurement framework, driving analysis independently, and translating results into decisions stakeholders can act on.

We want someone who shapes the analytical agenda, not just responds to it. You should be able to take a loosely defined business question, figure out what actually needs to be answered, build the analysis, and communicate it clearly without a lot of hand-holding. You will also be a resource for the junior analysts on the team, setting the bar for analytical quality and helping them grow.

This role reports directly to the Senior Director, Business Analytics.

Your day-to-day:

Own analytical coverage across growth marketing, registration, and website, setting measurement frameworks, building scalable reporting, and driving the analytical roadmap for your domain.
Lead analysis on complex, ambiguous questions: incrementality testing, LTV and payback modeling, attribution deep dives, funnel decomposition, and cohort analysis. You define the approach, not just execute it.
Build and own dbt models that encode business logic for your domain in a scalable, reusable way to power dashboards, reporting, and stakeholder self-serve.
Build and maintain Tableau dashboards that give marketing and leadership a clear, reliable view of performance across growth, registration, and web.
Partner directly with marketing stakeholders to scope analytical problems, pressure-test interpretations, and make sure findings land as decisions, not just slide decks.
Use Claude fluently as a daily productivity layer, accelerating SQL, generating documentation, QA-ing work, and building faster analytical workflows. You will help define and share best practices for AI-assisted analytics across the team.
Mentor and raise the floor for junior analysts on the team. Review their work, help them think through ambiguous problems, and set the standard for analytical quality.
Identify gaps before they become problems, from data quality and metric definitions to reporting coverage and stakeholder understanding. Own the fix, not just the flag.

What you’ll bring to the team:

4–8 years of experience in a data or analytics role, with hands-on experience in at least one marketing channel: paid search (preferred), paid social, TV/CTV, affiliates, direct mail, or similar. You should understand how that channel’s data works, how it’s structured, what the key metrics are, and how performance is measured and reported. Multi-channel experience is a strong plus.
Strong, proven SQL ability. You write clean, efficient queries across complex schemas and can build analytics logic others can maintain. Dbt experience, including owning models in production, is a strong plus.
Proficient with Claude or similar AI tools for analytical work. You use them to move faster, not as a crutch. You know how to validate outputs rather than ship the first answer.
You write readable, well-structured Python for analytical work: data manipulation, automation, or scripting. Your code should be something a teammate can pick up and maintain. Experience with pandas and the ability to move fluidly between SQL and Python depending on what the problem calls for is what we’re looking for.
You understand how attribution models work, what makes a good experiment, and how to think about LTV, CAC, and payback period without needing a primer.
You don’t wait to be asked. You spot the gap, scope the work, and drive it to a conclusion. Your stakeholders shouldn’t have to manage your backlog.
You can take a fuzzy business question and turn it into a clear analytical plan. You ask the right clarifying questions and bring structure without needing the problem handed to you pre-scoped.
You communicate findings in a way that drives decisions. You know when a chart is enough and when you need a narrative. You’ve presented to senior stakeholders and know how to calibrate.

Preferred experience:

Breadth across multiple marketing channels: paid search, paid social, TV/CTV, affiliates, or others.
Hands-on experience with experiment design and incrementality testing.
Experience with Snowflake or a similar cloud data warehouse.
Experience mentoring or reviewing the work of junior analysts.

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