Product Analyst
The Princeton Review
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $85,000 - $105,000 per year
Job Level
JuniorMid-Level
Tech Stack
PythonSQLTableau
About the role
- Partner with Product Managers to define key metrics, set success criteria, and design experiments to evaluate new features.
- Analyze product usage data to uncover trends, patterns, and user behaviors and provide recommendations that inform product strategy and roadmap prioritization.
- Build and maintain dashboards, reports, and self-serve data tools that keep teams informed on product health and performance and KPIs.
- Collaborate with data engineering and BI teams to ensure data accuracy, integrity, and accessibility.
- Evaluate potential external tools to support analytics at scale; partnering with data and engineering teams, serve as leader on tool implementation planning and execution.
- Conduct ad hoc analyses to answer specific product questions and support leadership decision-making.
- Communicate insights clearly through visualizations, storytelling, and presentations that drive action.
- Contribute to the development of scalable, repeatable analytical frameworks and processes across the product organization.
Requirements
- 2–5 years of experience as a Product Analyst, Data Analyst, or similar role within a product or technology organization.
- Strong analytical skills and proficiency in SQL (required).
- Experience with data visualization tools (e.g., Tableau, Looker, Power BI, Mode, or similar).
- Working familiarity with A/B testing, cohort analysis, and funnel metrics.
- Ability to synthesize complex data into clear, actionable insights.
- Strong collaboration and communication skills; able to translate analytical findings into language product teams can act on.
- Experience with statistical analysis or experimentation tools (e.g., R, Python, or Amplitude) is a plus.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLdata visualizationA/B testingcohort analysisfunnel metricsstatistical analysisRPythonAmplitude
Soft skills
analytical skillscollaborationcommunicationsynthesizing datastorytelling