Senior Data Analyst - B2B Product Growth & Experiments

Plaud

San Francisco (CA)

Hybrid

USD 120,000 - 180,000

Full time

3 days ago
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Benefits offered by this job

ESOP
Health & retirement benefits
Unlimited PTO
13 paid holidays
Parental leave
Hybrid work model

Job summary

Plaud Inc. in San Francisco is seeking a Senior Data Analyst to partner with Product Management on a bold 0→1 B2B product initiative.

This hands-on role requires identifying problems, executing end-to-end analysis, and translating insights into actionable product decisions. You'll operate in an early-stage environment with evolving metrics, where your work shapes adoption, usage, and monetization opportunities while aligning with cross‑regional analytics.

Qualifications

  • 5–7+ years in product analytics or related roles within AI/tech
  • Advanced SQL proficiency and metric design for experimentation analysis
  • Independent ownership in ambiguous problem spaces
  • Strong B2B product intuition and data-informed prioritization
  • Excellent communication with Product, Engineering and executives

Responsibilities

  • Drive B2B product strategy for a new 0→1 initiative and map professional workflows
  • Influence the roadmap by framing and solving high-impact product questions
  • Lead experimentation with PMs and Engineers to test feature rollouts
  • Architect telemetry: dashboards and automated analytical views for visibility into learning and performance
  • Align analytics across regional stakeholders to ensure global data consistency

Skills

5–7+ years exp
Advanced SQL
Experimentation
B2B SaaS
Cross-functional comms

Job description

Plaud Inc. in San Francisco is seeking a Senior Data Analyst to partner with Product Management on a bold 0→1 B2B product initiative.

This hands-on role requires identifying problems, executing end-to-end analysis, and translating insights into actionable product decisions. You'll operate in an early-stage environment with evolving metrics, where your work shapes adoption, usage, and monetization opportunities while aligning with cross‑regional analytics.

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