Product Analyst - Brand

Job Description

Our client, a growing fitness/wellness tech company, is looking for a data loving Product Analyst

In this role, you will not only analyze data but also design, implement, and optimize AI-driven solutions that power product decisions and user experiences. You’ll need to be highly independent, resourceful, and self-directed, as this role requires taking ownership of projects end-to-end - from scoping to execution to delivery of insights.

What You'll Do

• Leading the implementation and integration of AI tools within our organizational database and analytics workflows.
• Driving A/B testing strategy and analysis to inform product improvements and measure user impact.
• Building, maintaining, and scaling dashboards and reporting systems that empower teams with real-time insights.
• Leveraging LLM tooling to create automation, enhance personalization, and improve analytical efficiency.
• Collaborating closely with product managers and engineers to define key success metrics and translate findings into strategic recommendations.
• Partnering with cross-functional stakeholders to translate data into strategy, ensuring AI-driven insights directly inform product roadmaps.
• Managing your own workflow and priorities with minimal supervision, proactively identifying opportunities for AI adoption and data optimization.
  
  

Must-Haves

• 3 years of experience in product analytics, data analytics, or related fields.
• Excellent knowledge and hands-on experience with AI tools, including LLMs - from implementation to optimization.
• Strong proficiency in SQL and comfort working with large-scale datasets.
• Proven track record of independently running A/B tests and translating results into actionable product recommendations.
• Advanced skills with BI tools (e.g., Looker, Tableau, Power BI) and the ability to design intuitive dashboards.
• Demonstrated ability to work independently and manage projects without close supervision, thriving in an environment that values initiative and ownership.
• Exceptional communication skills to present technical and analytical findings clearly to both technical and non-technical audiences.
  
  

Nice-to-Haves

• Prior experience working in a startup environment, with adaptability and resilience.
• Familiarity with Python or R for deeper statistical analysis.
• Exposure to fitness technology or consumer-facing AI products.