[Hiring] Data Analyst @ResearchPod

Role Description

This role involves owning the full analytics stack and driving insights that shape product decisions.

• Track user acquisition, engagement, retention, and monetization metrics across free and premium tiers.
• Deep-dive into listening behavior to quantify what makes an episode “great” and how personalization impacts completion rates, repeat usage, and subscription conversion.
• Build and maintain dashboards (using tools like Amplitude, Mixpanel, Snowflake, dbt, and Looker/Tableau) that product, growth, and leadership rely on daily.
• Design and analyze A/B tests for recommendation algorithms, paywalls, onboarding flows, and content discovery features.
• Partner closely with engineering and product to instrument new events, define KPIs for upcoming features (e.g., voice interaction mode, visual explainers), and surface actionable insights.
• Identify leading indicators of churn, virality, and LTV; propose and validate interventions.
• Help shape our data warehouse and establish best practices as we transition from startup chaos to scalable infrastructure.

Qualifications

• 3–6 years of hands-on analytics experience, ideally at a consumer tech or edtech company.
• Advanced SQL skills (you write clean, efficient queries on large datasets).
• Proficiency in Python or R for analysis and scripting; experience with dbt is a strong plus.
• Comfortable with product analytics platforms (Amplitude, Mixpanel, Heap) and visualization tools (Looker, Tableau, Mode).
• Strong statistical foundation and rigorous approach to experimentation and causal inference.
• Excellent communicator who can translate complex findings into clear recommendations for non-technical stakeholders.
• Genuine curiosity about user behavior and a bias toward action—early-stage environment means you’ll wear multiple hats and ship insights quickly.
• Bonus: experience with recommendation systems, audio/content platforms, or freemium monetization.

Benefits

• Direct impact: your analyses will shape product roadmap, pricing, and growth strategy at a critical inflection point.
• High ownership: small team, big problems, no bureaucracy.
• Mission that matters: help democratize access to research and accelerate scientific progress.
• Competitive salary, meaningful equity, flexible remote/hybrid work, and learning budget.