Senior Product Analyst

About the role

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.

Responsibilities

• 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

Requirements

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

Strong ability to own 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

Qualifications

Education: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field

Experience: 5+ years of experience in product analytics, growth analytics, or a related quantitative role

Technical Skills: Advanced SQL skills and experience querying large datasets from cloud data warehouses. We use Redshift

Programming Languages: Experience with Python (e.g., pandas, scipy, statsmodels) for data analysis and statistical work

Product Analytics Platforms: Deep familiarity with product analytics platforms and event-based data models. We use Mixpanel

A/B Testing: Proven ability to design, run, and interpret A/B tests, including a solid understanding of statistical significance, power analysis, and common experimentation pitfalls

Product Metrics: Experience defining and owning product metrics and building organizational alignment around them

User Behavior Analysis: Strong ability to analyze user behavior (funnels, retention, segmentation, cohort analysis) and translate findings into clear product recommendations

Dashboards and Reporting: Proficiency building dashboards and self-service reporting tools. We use Lightdash

Strategic Thinking: 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

Communication: Excellent communication skills — able to translate complex analysis into clear, actionable guidance for both technical and non-technical audiences

Ownership: Strong ability to own work end-to-end, from raw data through executive-level recommendations

Additional Skills: Familiarity with analytics data modeling and transformations. We use dbt

Causal Inference: Experience with quasi-experimental methods (difference-in-difference, regression discontinuity) for causal inference when experiments aren't feasible

Event Tracking: Experience contributing to event tracking schemas and instrumentation plans

Skills

• Data analysis
• Statistical analysis
• A/B testing
• Product metrics
• User behavior analysis
• Dashboard development
• Communication
• Ownership

Benefits

N/A

Pay

$150,000 - $180,000 annually

Schedule

Hybrid full-time position based at our headquarters in San Diego, CA. The full salary range for this position is $150,000 - $180,000 annually. Flexible work schedule available.