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Data Analyst II, Ecommerce

1 month ago
United States
Full-time
Mid Level
Data Analyst
Data Science and Analytics
dbt Pandas Python Shopify Snowflake SQL Tableau
Apply Now
Greenlight

Greenlight

Greenlight is a financial technology company offering a debit card and money app for families, empowering parents to raise financially smart kids through smart spending and investing.

Capital Markets
251-1K
Founded 2014
$556M raised
View All Jobs 9

Description

  • Own the end-to-end measurement framework for the devices business across Shopify and Amazon, including KPI definition and reporting.
  • Measure the full funnel from ad impression to device purchase to subscriber conversion.
  • Analyze paid performance across Amazon Ads and Shopify-driven channels and recommend budget shifts based on ROAS, CAC, and payback period.
  • Investigate Shopify storefront and Amazon product page funnels to identify conversion leaks and drivers of lift.
  • Build and own dbt models that encode business logic for the devices domain.
  • Build and maintain Tableau dashboards for device sales, channel performance, and subscriber attach rates.
  • Use Claude and other AI tools to accelerate SQL, documentation, QA, and analytical workflows.
  • Partner with the devices marketing team to scope analytical problems and support decision-making.
  • Identify and resolve data quality issues, metric definition gaps, reporting coverage gaps, and stakeholder understanding issues.
  • Translate complex business questions into clear analytical plans and communicate findings to senior stakeholders.

Requirements

  • 4 to 8 years of experience in a data or analytics role with direct e-commerce or retail marketing analytics experience.
  • Hands-on experience with Shopify analytics and Amazon Seller Central or Amazon Ads.
  • Strong SQL skills with the ability to write clean, efficient queries across complex schemas.
  • Experience with dbt, including owning models in production, is a strong plus.
  • Proficiency in Python for analytical work such as data manipulation, automation, or scripting.
  • Experience with pandas and comfort moving between SQL and Python as needed.
  • Proficiency with Claude or similar AI tools for analytical work.
  • Understanding of attribution models, experimentation, LTV, CAC, and payback period in a marketplace or hardware-plus-subscription business.
  • Ability to work independently, proactively identify gaps, and drive work to completion.
  • Ability to communicate insights clearly to senior stakeholders.
  • Preferred: Amazon Clean Room experience, including privacy-safe audience analysis, overlap measurement, or closed-loop attribution.
  • Preferred: Experience with Amazon DSP or Amazon Marketing Cloud (AMC) analytics.
  • Preferred: Familiarity with Shopify analytics APIs or third-party Shopify reporting tools.
  • Preferred: Background in hardware businesses with recurring subscriptions, such as connected devices, wearables, or smart home products.
  • Preferred: Hands-on experiment design experience, including incrementality testing, geo tests, or A/B testing in e-commerce.
  • Preferred: Experience with Snowflake or a similar cloud data warehouse.
  • Preferred: Experience mentoring or reviewing junior analysts' work.

Benefits

  • Medical, dental, vision, and HSA match.
  • Paid life insurance, AD&D, and disability benefits.
  • Traditional 401(k) 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 leave.
  • Flexible work-from-home options with both remote and in-office opportunities.
  • Fully stocked kitchen, catered lunches, and occasional in-office happy hours.
  • Discretionary performance bonus and equity rewards.
  • Competitive base pay of $100,000-$130,000 in NY/CA/WA and $100,000-$120,000 in CO.

Interested in this position?

Apply directly on the company website

Apply Now

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