Data Analyst, B2B Growth - San Francisco

We’re looking for a Data Analyst to partner closely with Product Management on an upcoming product initiative. This is a hands-on role designed for someone who can identify the right problems to solve, execute rigorous analysis end-to-end, and translate insights into clear product decisions. You will operate in an early-stage product environment where ambiguity is high, metrics are evolving, and early decisions have an outsized impact on product adoption, active usage, and future monetization opportunities.

Responsibilities

Own the Growth & Commercial Architecture: Architect and define key commercial metrics, funnels, and leading indicators across user acquisition, activation, conversion, retention, and revenue performance; Drive Monetization & Pricing Strategy: Partner with leadership to support subscription monetization, packaging, and pricing decisions by building structured evaluation frameworks and clear, data-backed recommendations; Lead Growth & Marketing Experimentation: Design, execute, and validate marketing campaigns, growth initiatives, and product-led growth (PLG) experiments, ensuring strict statistical rigor (A/B testing, cohort modeling); Proactive Funnel Diagnostics: Act as the detective for our revenue engine. Hunt down the root causes behind metric anomalies, conversion fluctuations, or performance dips, translating raw data into executive-ready narratives and decision memos; Scale Self-Serve Data Products: Build automated dashboards and robust business review materials that give Go-To-Market (GTM) teams and executives trusted, crystal-clear visibility into real-time performance; Align Global Analytics: Partner closely with cross-regional analytics stakeholders to lead methodology alignment, share localized context, and ensure global data consistency

Requirements

3-5+ years of experience in growth data analytics, commercial/revenue analytics, or product analytics within tech, B2B SaaS, or high-growth AI companies; Advanced SQL proficiency and deep experience with commercial analytics methods (funnel analysis, cohort analysis, lifetime value modeling, user segmentation); Strong hands-on experience building out modern BI reporting systems (e.g., Looker, Tableau, Metabase); High ownership mindset with proven ability to turn complex, multi-touch datasets into clear, actionable business strategies; Ability to move projects independently from data pull to executive pitch; Strong commercial intuition; Understanding of sales funnels (e.g., renewal, expansion) and how marketing channels interact with product conversion; Clear, compelling communication skills with ability to bridge the gap between technical datasets and non-technical growth partners

Nice to have

Direct experience supporting B2B monetization, packaging changes, or hardware-plus-software pricing strategy; Comfort using AI-assisted analytics tools or automation workflows to maximize analytical efficiency; A background working in fast-paced tech environments or early-stage products with rapidly evolving data infrastructure

Benefits

Employee Stock Ownership Plan (ESOP); High-impact environment; Comprehensive health & retirement benefits: top-tier medical, dental, and vision insurance for employees and dependents with generous employer subsidy, plus 401(k) retirement plan with company matching for full-time employees; Unlimited PTO; 13 paid holidays; 12 weeks of fully paid parental leave for all parents; Hybrid work model with minimum of three in-office days per week; High-quality office snacks, drinks, and equipment; Access to best-in-class AI tools including Cursor, GPT models, Gemini, Claude, and other frontier AI systems; Best-in-class equipment with choice of top-spec laptops, high-performance workstation setups, and cutting-edge Plaud devices; Annual company offsites and team events; Culture that values craftsmanship, ownership, and velocity