Side

Senior Product Data Analyst

Side

full-time

Posted on:

Location Type: Hybrid

Location: San Francisco • California • 🇺🇸 United States

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Salary

💰 $135,000 - $150,000 per year

Job Level

Senior

Tech Stack

AirflowBigQueryETLGoogle Cloud PlatformPostgresPythonSQL

About the role

  • Define & Instrument Product Metrics: Partner with PMs, Designers, and Engineers to define KPIs, event schemas, and experiment designs, with a focus on instrumenting front-end tracking for user behavior data; lead Pendo event/taxonomy implementation, QA, and ongoing governance; build and maintain Looker reports and dashboards for stakeholders in all orgs.
  • Build the Analytics Layer: Design and maintain Looker Explores, Looks, and dashboards; manage LookML and semantic modeling; set up advanced LookML data structures/models; ensure consistent definitions across teams.
  • Synthesize & Communicate Insights: Blend quantitative and qualitative inputs (e.g., Pendo and other usage data, feedback, research) into clear narratives and recommendations for leadership and product squads.
  • Own Data Governance: Establish naming conventions, documentation, and data quality standards for product analytics (including UTM standards, user/agent segmentation, and guide/feature metadata).
  • Coach & Uplevel: Run office hours, trainings, and reviews to improve analytics acumen across Product/Design/Engineering; collaborate with Finance Analytics where roadmaps intersect.
  • Warehouse & Pipelines: Collaborate with Data Engineering to shape BigQuery schemas and marts; contribute SQL for production pipelines; partner on ETL/reverse‑ETL workflows and SLAs; monitor with DataDog and alert on data health.
  • Experimentation: Define and support A/B and multi‑variant tests (design, guardrails, power, analysis) and drive a culture of measurement and learning.
  • Tool Stewardship: Administer Looker licensing and workspace hygiene, manage Pendo taxonomy and implementation, and coordinate with vendors; maintain access, permissions, and usage dashboards.
  • Backlog & Roadmapping: Maintain a product analytics roadmap and intake process; prioritize the highest‑impact analytics work and instrument future features ahead of launch.

Requirements

  • 4+ years in Product Analytics / Data Analytics for B2B SaaS (or equivalent impact), with a track record of driving measurable product and business outcomes.
  • Expert SQL (multiple variants, including BigQuery & Postgres); strong LookML/Looker modeling; hands‑on Pendo (or Heap, or equivalent) instrumentation and taxonomy governance; familiarity with DataDog for metrics/alerting.
  • Deep experience managing and working with front-end tracking data, user behavior data, workflows, segmentation, and analysis.
  • Experience working within datamart design and implementation for self-service enablement.
  • Advanced analytics modeling (predictive, forecasting, churn, ML models) to apply in either a product or business context.
  • Experience shaping warehouse schemas and data governance; collaborating with Data Engineering on ETL and reverse‑ETL; comfort reading/writing production‑grade SQL.
  • Strong desire to understand a product and users end-to-end, to drive context for data and for recommending how we can use data to make improvements.
  • Practical understanding of A/B testing, metric guardrails, and statistical inference; ability to choose pragmatic methods for real‑world product questions; experience working within strong data constraints and limited data availability.
  • Clear, concise storyteller who can translate complex analyses into simple, actionable decisions for executives and cross‑functional partners.
  • Bias to action; comfortable operating as the sole Product analytics owner while partnering closely with Product, Design, Engineering, Data, and Finance.
  • Experience in real estate, mortgage, title/escrow, or fintech is a plus.
  • B.A./B.S. or equivalent practical experience in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering).
  • Nice‑to‑Haves: Python or R; dbt; BigQueryML; Airflow/Orchestration; GCP experience beyond BigQuery; exposure to feature flag platforms and event streaming.
Benefits
  • Competitive salary
  • Stock options
  • Best‑in‑class benefits, including healthcare coverage (medical, vision, dental)
  • Flexible PTO
  • Learning & Development credit
  • Hybrid work: in‑office 2 days/week (SF office is pet‑friendly)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLLookMLLookerPendoBigQueryPostgresETLA/B testinganalytics modelingdata governance
Soft skills
storytellingcommunicationcollaborationcoachingbias to actionanalytical thinkingproblem-solvingleadershiporganizational skillsuser empathy
Certifications
B.A.B.S.