Researchpod

Data Analyst

Researchpod

full-time

Posted on:

Location Type: Remote

Location: Anywhere in Europe

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Salary

💰 €60,000 - €85,000 per year

About the role

  • Own the full analytics stack: 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 (we use 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.

Requirements

  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
analyticsSQLPythonRA/B testingdata analysisstatistical analysiscausal inferencedata warehousingdashboard creation
Soft Skills
communicationcuriosityproblem-solvingcollaborationadaptabilityaction-orientedcritical thinkinginsight generationstakeholder engagementtranslating complex findings