Data Analyst

Role Overview

• 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.

Requirements

• 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.

Tech Stack

• Pandas
• Python
• SQL
• Tableau

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