• 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.

• 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, * Experience supporting product-led organizations
• Strong problem-solving and critical thinking abilities
• Ability to manage multiple priorities in a fast-paced environment
• Passion for using data to influence product strategy and business outcomes

MSP

3.93.9 out of 5 stars San Francisco, CA 94105 $70 - $84 an hour - Contract

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.