AfterShip
SaaS, eCommerce
RevenueStrategyAnalyst
“Revenue Strategy Analyst at AfterShip. Skills: Revenue Strategy, GTM Analytics, Data Analysis, Dashboarding, Reporting, AI-enabled workflows. Analyze GTM channel and funnel performance to surface trends, growth levers, and operational gaps, then translate findings into prioritized recommendations. Partner with RevOps and GTM leadership to operationalize revenue strategies tied to company OKRs”
What You'll Achieve.
Accelerate company OKRs; Move revenue performance across the business; Reduce customer support inquiries; Deliver a more reliable and engaging customer experiences; Unlock incremental revenue at every post-purchase touchpoint; Turn every post-purchase moment into an opportunity to build trust, reduce costs, and drive repeat purchases
Industry & Context.
Analytical engine behind AfterShip's GTM strategy; Turning data into the decisions that shape how we grow; Leans into ambiguous business problems; Rigorous, data-informed thinking; Identify growth opportunities; Sharpen reporting visibility; Drive high-impact operational initiatives; Investigate ambiguous datasets independently; Bias toward systems thinking
What They're Looking For.
Must Have
2 to 4 years of experience in Revenue Operations, Revenue Strategy, GTM Analytics, or related analytical roles, HubSpot (CRM, custom objects, workflows, reporting), Tableau (or equivalent BI), SQL, Demonstrated experience designing AI-enabled workflows that solve operational problems, Hands-on experience analyzing GTM performance across the full funnel: pipeline coverage, conversion rates, sales cycle velocity, forecast accuracy, win/loss, NRR, CAC payback, and segment-level performance, Proven ability to build dashboards, run ad hoc analyses, and translate findings into clear recommendations for Sales, Marketing, Partnerships, CS, and Finance stakeholders
Nice to Have
Ideally within SaaS, eCommerce, or platform businesses, eCommerce business model experience strongly preferred (Shopify ecosystem, marketplace dynamics, or subscription commerce), workflow automation platforms (n8n, Zapier, Workato, or Make), Python for data analysis, exposure to a cloud data warehouse (BigQuery, Snowflake, Redshift), familiarity with prompt design, agentic workflows, or MCP-based integrations
What You'll Do.
Analyze GTM channel and funnel performance to surface trends
then translate findings into prioritized recommendations
Partner with RevOps and GTM leadership to operationalize revenue strategies tied to company OKRs
Build executive-grade dashboards and self-serve reporting in Tableau and HubSpot
designed for decision-making
Run ad hoc strategic analyses across Sales
and segment profitability
Improve forecasting accuracy and pipeline predictability through analysis of conversion behavior
Monitor core revenue metrics (pipeline coverage
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 HubSpot
and the data warehouse
ensuring shared metric definitions across teams
How You'll Work.
Team & Collaboration
Partner across Sales, Marketing, Partnerships, Customer Success, Finance, and Data to uncover insights, optimize revenue-driving processes, and accelerate company OKRs; Partner with RevOps and GTM leadership to operationalize revenue strategies tied to company OKRs; Translate complex datasets into clear executive narratives, owning the "so what" and the recommended action; Cross-functional collaboration across Sales, Marketing, Partnerships, Customer Success, Finance, and Data
Communication Scope
Communication skill; Engaging executive stakeholders; Translating complex datasets into clear narratives; Storytelling; Executive communication; Presenting trade-offs
Process & Methodology
Scoping problems independently, Shipping work without heavy hand-holding, Bias toward systems thinking: when you see a recurring manual task, your instinct is to redesign the process, not just complete it faster
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