Business Data Analyst III - Product Analytics & Experimentation

Wilson•San Francisco, CA
•Onsite

About The Position

Our client, a leading global technology company, is seeking a Business Data Analyst III to join a highly collaborative Product Analytics team supporting one of the world's most recognized consumer software platforms. This is an exciting opportunity for a data-driven professional who enjoys transforming complex data into actionable insights that influence product strategy, customer experience, and business growth. Working alongside Product Managers, Marketing, Engineering, and cross-functional stakeholders, you'll leverage modern analytics, experimentation, AI-powered tools, and visualization platforms to help shape data-driven product decisions.

Requirements

  • 5+ years of experience in Business Analytics, Product Analytics, or Data Analytics within a SaaS or technology environment
  • Advanced proficiency in SQL and Python
  • 5+ years of hands-on experience with Tableau or Qlik
  • Proven experience designing, implementing, and analyzing A/B testing and experimentation frameworks
  • Experience utilizing AI-powered tools such as Claude Code, Cursor, or similar technologies to automate and streamline analytics
  • Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
  • Experience with Causal Inference and advanced statistical methodologies

Responsibilities

  • Analyze large-scale datasets to uncover trends, opportunities, and business insights.
  • Design, execute, and interpret A/B tests to measure product performance and customer behavior.
  • Build dashboards and reports using modern data visualization tools to monitor key business metrics.
  • Develop automated data analysis workflows using SQL, Python, and AI-powered productivity tools.
  • Partner closely with Product, Marketing, and Engineering teams to define KPIs and measure success.
  • Present analytical findings and recommendations to both technical and business stakeholders.
  • Apply statistical modeling, causal inference, and advanced analytical techniques to solve business challenges.
  • Continuously improve reporting, automation, and analytical processes.
Ā© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service