Product Analyst

8 hours ago

Greene Street New York New York United States, Israel amp Full time $80,000 - $120,000 per year

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.

  • 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.

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