Writer

Product Analyst

Writer

full-time

Posted on:

Origin:  • 🇺🇸 United States • New York

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Job Level

Mid-LevelSenior

Tech Stack

BigQuerySQLTableau

About the role

  • Collect, clean, and analyze product and user data to extract meaningful insights and identify trends, including designing and analyzing A/B tests
  • Leverage FullStory and product analytics tools to uncover user behaviors and identify friction points
  • Design and build ELT-based data models using SQL and dbt; implement testing and validation to ensure data accuracy
  • Define core metrics layer and consolidate data into a single source of truth
  • Create dashboards and visualizations to inform product prioritization and operational efficiencies
  • Partner with Product, Marketing, GTM, and cross-functional teams to standardize and report on key metrics and support ad-hoc reporting needs
  • Drive data enablement: develop resources, build trusted data models, and establish standards for self-service analytics
  • Navigate full data lifecycle from data modeling and dashboarding to deep-dive analysis and stakeholder management

Requirements

  • 5+ years of hands-on experience in product analytics in a SaaS environment
  • Advanced SQL and dbt skills
  • Proficiency with product analytics tools (FullStory, Amplitude, Mixpanel) and data visualization tools (Tableau, Looker)
  • Experience designing and analyzing A/B tests
  • Experience designing and building ELT-based data models using SQL and dbt, implementing testing and validation
  • Experience with BigQuery, Fivetran, Hightouch, Segment, Omni
  • Familiarity with Salesforce, Hubspot, and Gong
  • Strong stakeholder management, communication, and ability to distill complex information
  • Experience championing data best practices and building self-service analytics
  • Comfortable working in ambiguous, fast-paced environments and taking ownership
  • Willingness and ability to join in-person collaborative working sessions in office 2-3 days/week and be within 50 miles of an office hub or willing to relocate
  • Bonus: experience across multiple analyst areas (marketing, operations) or on data engineering side