Data Analyst

Greenlight is the leading family fintech company on a mission to help parents raise financially smart kids. We proudly serve more than 6 million parents and kids with our award-winning banking app for families. With Greenlight, parents can automate allowance, manage chores, set flexible spend controls, and invest for their family’s future. Kids and teens learn to earn, save, spend wisely, and invest. At Greenlight, we believe every child should have the opportunity to become financially healthy and happy. It’s no small task, and that’s why we leap out of bed every morning to come to work. Because creating a better, brighter future for the next generation depends on it. We are looking for a Data Analyst II, Ecommerce to own analytics for Greenlight’s devices business. Greenlight sells physical hardware, including the Safe Family GPS tracker and the Family Hub smart home display, through Shopify and Amazon. This role is the analytical lead for that business: measuring what drives device sales, understanding how device buyers convert into subscribers, and helping the team direct marketing spend more effectively across both channels. 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 define the measurement framework, drive analysis independently, and translate results into decisions the team can act on. The expectation is not just to answer questions when asked, but to proactively surface what’s working, what isn’t, and where the opportunity is. This role reports directly to the Senior Director, Business Analytics. Your day-to-day: Own the end-to-end measurement framework for Greenlight’s devices business across Shopify and Amazon. Define the KPIs, build the reporting, and ensure the team always has a clear, current view of device sales performance. Measure the full funnel from ad impression to device purchase to subscriber conversion. Understand which marketing inputs drive device sales and which device buyers become high-LTV subscribers. This two-step conversion is the core analytical problem in this role. Analyze paid performance across Amazon Ads and Shopify-driven channels. Evaluate ROAS, CAC, and payback period at the device level and surface recommendations on where to shift spend. Dig into the Shopify storefront and Amazon product page funnels. Identify where conversion is leaking, what product, pricing, or creative variables are driving lift, and bring findings forward before stakeholders ask. Build and own dbt models that encode business logic for the devices 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 reliable, current view of device sales, channel performance, and subscriber attach rates. Use Claude fluently as a daily productivity layer: accelerating SQL, generating documentation, QA-ing work, and building faster analytical workflows. Help define and share best practices for AI-assisted analytics across the team. Partner directly with the devices marketing team to scope analytical problems, pressure-test Identify gaps before they become problems: data quality, metric definitions, reporting coverage, and stakeholder understanding. Own the fix, not just the flag. What you’ll bring to the team: 4 to 8 years in a data or analytics role with direct experience in e-commerce or retail marketing analytics. You understand how product sales, marketplace channels, and subscription conversion interact. Hands-on experience with Shopify analytics and Amazon Seller Central or Amazon Ads. You know how these platforms structure their data, what the key metrics are, and how to measure performance across both. 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. You write readable, well-structured Python for analytical work: data manipulation, automation, or scripting. 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. 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 understand how attribution models work in a marketplace context, what makes a good experiment, and how to think about LTV, CAC, and payback period for a hardware product that feeds a subscription business. 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: Amazon Clean Room experience: privacy-safe audience analysis, overlap measurement, or closed-loop attribution using Amazon’s data collaboration environment. Experience with Amazon DSP or Amazon Marketing Cloud (AMC) analytics. Familiarity with Shopify analytics APIs or third-party Shopify reporting tools. Background in a business that sells hardware with a recurring subscription attached, such as connected devices, wearables, or smart home products. Hands-on experiment design experience: incrementality testing, geo tests, or A/B testing in an e-commerce context. Experience with Snowflake or a similar cloud data warehouse. Experience mentoring or reviewing the work of junior analysts. Not sure this one’s for you? Don’t count yourself out. Show us what you’ve got and we’ll reach out if there’s a great fit. 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): $100,000-130,000 The estimated base pay range for this position in (CO): $100,000-120,000 Who we are: It takes a special team to aim for a never-been-done-before mission like ours. We’re looking for people who love working together because they know it makes us stronger, people who look to others and ask, “How can I help?” and then “How can we make this even better?” If you’re ready to roll up your sleeves and help create a world where every child grows up to be happy and healthy in money and life, apply to join our team. Greenlight is an equal opportunity employer and will not discriminate against any employee or applicant based on age, race, color, national origin, gender, gender identity or expression, sexual orientation, religion, physical or mental disability, medical condition (including pregnancy, childbirth, or a medical condition related to pregnancy or childbirth), genetic information, marital status, veteran status, or any other characteristic protected by federal, state or local law. Greenlight is committed to an inclusive work environment and interview experience. If you require reasonable accommodations to participate in our hiring process, please reach out to your recruiter directly or email [emailprotected] . We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.