Side · 1 month ago
Senior Product Data Analyst
San Francisco, California
Full-time
Hybrid
Mid, Senior Level
$135K/yr - $150K/yr
4+ years expSide is a pioneer in the Brokerage-as-a-Service model, helping real estate professionals operate their own companies. They are seeking a hands-on Senior Product Data Analyst to drive product analytics, define key metrics, and shape data governance strategies to support decision-making across the organization.
Real EstateReal Estate BrokerageReal Estate InvestmentSales
Responsibilities
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
Qualification
Required
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
B.A./B.S. or equivalent practical experience in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering)
Preferred
Python or R; dbt; BigQueryML; Airflow/Orchestration; GCP experience beyond BigQuery; exposure to feature flag platforms and event streaming
Experience in real estate, mortgage, title/escrow, or fintech is a plus
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)
Company
Side
Side is the only real estate brokerage platform empowering the very best agents, teams & indies to create and grow their own companies.
201-500 employees
H1B Sponsorship
Side has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (4)
2022 (5)
2021 (3)
Funding
Current Stage
Late StageTotal Funding
$263.5MKey Investors
Tiger Global ManagementCoatueSapphire Ventures
2021-06-28Series Unknown· $50M
2021-03-19Series D· $150M
2019-07-07Series C· $35M
Leadership Team
Guy Gal
CEO
Edward Wu
CTO & Co-founder
Recent News
2025-12-16
2025-11-07
HousingWire.com
2025-11-01
Company data provided by crunchbase