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Unassigned Revenue Strategy Analyst Seattle

Job in Seattle, King County, Washington, 98127, USA
Listing for: AfterShip Group
Full Time position
Listed on 2026-06-05
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
  • Business
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

About Us

After Ship, a Great Place to Work Certified company, is transforming the global eCommerce landscape. Founded in 2012, After Ship is a post-purchase SaaS company on a mission to build the world’s leading automation platform for ecommerce merchants.

After Ship unifies shipping & labels, order tracking, AI predictive delivery, and returns management into one system—giving merchants a single place to manage and automate everything that happens after checkout. By centralizing these workflows, After Ship enables merchants to reduce customer support inquiries, deliver a more reliable and engaging customer experiences, and unlock incremental revenue at every post-purchase touchpoint.

After Ship integrates seamlessly with eCommerce platforms including Shopify and Tik Tok Shop, and connects with more than 1,200 carriers worldwide. Today, over 20,000 businesses—including Samsung, Gymshark, Mejuri, Dr. Squatch, and Alo Yoga—rely on After Ship to turn every post-purchase moment into an opportunity to build trust, reduce costs, and drive repeat purchases.

Built for a global market from day one, After Ship operates with an engineering-driven, internationally distributed team. The company employs more than 450 people across 8 offices, spanning North America, Europe, and Asia, and representing over 20 cities worldwide.

Your Mission

As a Revenue Strategy Analyst, you will be the analytical engine behind After Ship's GTM strategy, turning data into the decisions that shape how we grow. Reporting to the Senior Manager, Revenue Operations, you will partner across Sales, Marketing, Partnerships, Customer Success, Finance, and Data to uncover insights, optimize revenue-driving processes, and accelerate company OKRs through rigorous, data-informed thinking.

This role is built for someone who thrives at the intersection of SaaS and eCommerce, leans into ambiguous business problems, and can translate complex datasets into clear narratives and strategic recommendations that leadership can act on. You will identify growth opportunities across GTM channels, sharpen reporting visibility, and drive high-impact operational initiatives that move revenue performance across the business.

This is a highly cross-functional role that rewards strong analytical thinking, commercial acumen, and communication skill. The ideal candidate is comfortable engaging executive stakeholders, navigating incomplete or evolving datasets, and designing AI-enabled workflows that turn analytics into a competitive advantage rather than a reporting function.

What You’ll Do
  • Analyze GTM channel and funnel performance to surface trends, growth levers, and operational gaps, then translate findings into prioritized recommendations.
  • Partner with Rev Ops and GTM leadership to operationalize revenue strategies tied to company OKRs.
  • Build executive-grade dashboards and self-serve reporting in Tableau and Hub Spot, designed for decision-making.
  • Run ad hoc strategic analyses across Sales, Marketing, CS, Partnerships, and Finance, including win/loss, churn, attribution, and segment profitability.
  • Improve forecasting accuracy and pipeline predictability through analysis of conversion behavior, stage velocity, and deal slippage.
  • Monitor core revenue metrics (pipeline coverage, conversion, velocity, NRR, GRR, CAC payback, quota attainment) and flag anomalies before they surface in QBRs.
  • Translate complex datasets into clear executive narratives, owning the "so what" and the recommended action.
  • Design scalable analytical frameworks and reporting processes that reduce one-off requests through better self-serve infrastructure.
  • Build AI-enabled workflows to automate recurring analysis and accelerate insight delivery, treating AI as a system to design with.
  • Investigate ambiguous datasets independently, scoping the question and shipping the answer without tight direction.
  • Govern reporting consistency and data integrity across Hub Spot, Tableau, and the data warehouse, ensuring shared metric definitions across teams.
Who We're Looking For
  • 2 to 4 years of experience in Revenue Operations, Revenue Strategy, GTM Analytics, or related analytical roles, ideally within SaaS, eCommerce,…
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