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Plaud

Data Analyst, B2B Growth - San Francisco

San Francisco, USAHybridPosted 1 month ago

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Job type
Full-time
Work mode
Hybrid
Level
Not listed
Department
Data and Analytics
Experience
3+ years experience
Posted
Aug 24, 2026

About the role

About the Role

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.

What You Will Do

  • 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. You will 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.

Minimum Qualifications

  • The Experience: 3–5+ years of experience in growth data analytics, commercial/revenue analytics, or product analytics within tech, B2B SaaS, or high-growth AI companies.
  • Technical Foundation: 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).
  • Strategic Ownership: High ownership mindset with a proven ability to turn complex, multi-touch datasets into clear, actionable business strategies. You take pride in moving projects independently from data pull to executive pitch.
  • Business Acumen: Strong commercial intuition. You understand sales funnels (e.g., renewal, expansion) and know how marketing channels interact with product conversion.
  • Communication: Clear, compelling communication skills with the ability to bridge the gap between technical datasets and non-technical growth partners.

Preferred Qualifications

  • 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.

What we offer

  • Meaningful Ownership An Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud’s long-term success.
  • High-Impact Environment Work in a fast-moving, product-driven environment where your ideas directly shape the future of AI productivity.
  • Comprehensive Health & Retirement Benefits Top-tier medical, dental, and vision insurance for employees and dependents, supported by a generous employer subsidy, plus a 401(k) retirement plan with company matching for full-time employees.
  • Time Off & Workplace Benefits Unlimited PTO, plus 13 paid holidays, 12 weeks of fully paid parental leave for all parents, a hybrid work model with a minimum of three in-office days per week, and access to high-quality office snacks, drinks, and equipment.
  • Cutting-Edge AI Tools for Productivity Access to best-in-class AI tools, including Cursor, GPT models, Gemini, Claude, and other frontier AI systems to maximize engineering and execution efficiency.
  • Best-in-Class Equipment Choice of top-spec laptops, high-performance workstation setups, and cutting-edge Plaud devices for all new hires.
  • Team & Culture Annual company offsites, team events, and a culture that values craftsmanship, ownership, and velocity.