Senior Product Analyst

At AoPS, data plays a critical role in how we design, build, and improve our products. We serve tens of thousands of students worldwide through digital platforms that support discovery, enrollment, learning, and ongoing engagement. These products generate rich behavioral and operational data, but that data only creates value when it drives better decisions.

We are hiring a Senior Product Analyst to serve as a core strategic partner to the Product team. This is an individual contributor role for someone with deep expertise in product metrics, user behavior analysis, and experimentation. The role exists to sharpen our understanding of how users interact with our products, surface actionable insights, and ensure every product decision is grounded in evidence. The Senior Product Analyst is, above all, an advocate for our users. They use data to understand how students and families actually experience our products.

You will work closely with product managers, engineers, and designers to define success, evaluate product changes, and help AoPS build experiences that deliver real value to students and families.

The Senior Product Analyst will:

• Act as the primary analytics partner for the AoPS Product teams, supporting product strategy, roadmap decisions, and feature evaluation
• Proactively identify opportunities, risks, and trends in product data, surfacing insights without waiting for explicit requests
• Define, own, and evolve product metrics (including north-star metrics, leading indicators, and guardrail metrics), ensuring alignment and consistent interpretation across teams
• Translate product goals into clear measurement plans: testable hypotheses, success metrics, and tracking requirements
• Design, execute, and analyze A/B tests and other experiments (e.g., feature rollouts, holdout tests) to rigorously measure the impact of product changes and guide iteration
• Conduct deep-dive analyses of user behavior, funnels, retention, and engagement to uncover the "why" behind key product trends
• Build and maintain dashboards and self-service reporting that empower product managers and stakeholders to answer their own questions
• Partner with engineering to ensure reliable, well-instrumented event tracking across products
• Use SQL to extract, transform, and analyze large datasets from our data warehouse
• Communicate findings clearly, influencing product prioritization and direction through data-backed recommendations, reports, and presentations
• Establish and promote best practices for product analytics, experimentation, and metric integrity across the organization

The ideal candidate has:

• 5+ years of experience in product analytics, growth analytics, or a related quantitative role, with demonstrated impact on product decisions
• Advanced SQL skills and experience querying large datasets from cloud data warehouses. We use Redshift
• Experience with Python (e.g., pandas, scipy, statsmodels) for data analysis and statistical work
• Deep familiarity with product analytics platforms and event-based data models. We use Mixpanel
• Proven ability to design, run, and interpret A/B tests, including a solid understanding of statistical significance, power analysis, and common experimentation pitfalls
• Experience defining and owning product metrics and building organizational alignment around them
• Strong ability to analyze user behavior (funnels, retention, segmentation, cohort analysis) and translate findings into clear product recommendations
• Proficiency building dashboards and self-service reporting tools. We use Lightdash
• Proven ability to operate as a strategic thought partner to the product and leadership teams, building trust and influence across engineering, design, and business stakeholders
• Excellent communication skills — able to translate complex analysis into clear, actionable guidance for both technical and non-technical audiences
• Comfort owning work end-to-end, from raw data through executive-level recommendations

Bonus points for:

• Familiarity with analytics data modeling and transformations. We use dbt
• Experience with quasi-experimental methods (difference-in-difference, regression discontinuity) for causal inference when experiments aren't feasible
• Experience contributing to event tracking schemas and instrumentation plans
• Background in edtech, consumer software, or subscription products

Why Join AoPS: This is a hybrid full-time position based at our headquarters in San Diego, CA. The hiring range for this position is $150k - $180k. Here are some things you can look forward to:

• Impact: As the Senior Product Analyst, you will be the driving force behind data-informed product decisions at AoPS, helping shape experiences that serve tens of thousands of students and families and directly advancing AoPS's mission to discover, inspire, and train the next generation of great problem solvers
• Flexibility: Casual work environment with a hybrid work week and flexible scheduling
• Benefits: Multiple options for Medical, Dental and Vision plans
• Future Planning: 401(k) with company match
• Quality of Life: PTO Plan and supportive leadership that gives you the work-life balance you deserve
• Ease of Transition: Relocation bonus (if currently located outside of San Diego)

Background Check: Please note that employment is contingent on the successful completion of a background check.

Work Authorization: Please note that in order to be considered for this position you must be legally authorized to work in the US. We are unable to offer sponsorship, including STEM-OPT and H-1B.

About AoPS: Art of Problem Solving (AoPS) is on a mission to discover, inspire, and train the great problem solvers of the next generation. Since 2003, we have trained hundreds of thousands of the country's top students, including nearly all the members of the US International Math Olympiad team, through our online school, in-person academies, textbooks, and online learning systems. While our primary focus has been math for most of our history, through the years we have expanded our unique problem solving curriculum into more subjects, such as language arts, science, and computer science.