Senior Product & Growth Analyst / Head of Data(m/w/x)

Beschreibung

You will drive the company's growth by transforming complex data into strategic product decisions while reverse-engineering platform behaviors to ensure technical stability and impact.

Anforderungen

• •4–7+ years in Product Analytics, Growth Analytics, or Data roles
• •Startup or scale-up background (strong plus)
• •Advanced SQL skills
• •Experience with Looker, Tableau, Metabase, PowerBI, or similar
• •Experience with Mixpanel, Amplitude, PostHog, or GA4
• •Understanding of funnels, cohorts, retention, LTV/CAC, and monetization
• •Ability to translate data into decisions
• •Comfort in ambiguous, fast-moving environments
• •Fluent in English (written & spoken)
• •Experience in SaaS, subscription, or creator platforms (preferred)
• •Experience building forecasting or scenario models
• •Experience with large-scale behavioral datasets
• •Python or R for analysis and modeling
• •Fundierte Erfahrung im Reverse Engineering komplexer Softwaresysteme
• •Sehr gute Kenntnisse in Binäranalyse, Disassemblierung und Dekompilierung
• •Erfahrung mit Android-Apps (APK/DEX) und nativen Bibliotheken
• •Analyse von Netzwerkverhalten und API-Protokolländerungen
• •Vertrautheit mit dynamischer Instrumentierung (z. B. Frida)
• •Ausgeprägte Problemlösungsfähigkeiten bei obfuskierten Systemen
• •Nachweise früherer Arbeiten (Projekte, Research oder Tools)
• •Fließende Englischkenntnisse in Wort und Schrift
• •Erfahrung mit Analyse geschützter Anwendungen und Laufzeitverhalten
• •Praktisches Verständnis von Kryptographie und Protokolldesign
• •Kenntnisse in Python, Go, C/C++ oder Rust
• •Hintergrund in Application Security Research oder Penetrationstests

Aufgaben

• •Analyze user funnels to identify drop-off points
• •Measure feature adoption and engagement levels
• •Perform cohort and lifecycle analyses
• •Build LTV, ARPU, and conversion models
• •Identify upsell and pricing opportunities
• •Analyze revenue drivers and power users
• •Identify churn risks and retention levers
• •Collaborate with leadership on strategic KPI reviews
• •Validate business hypotheses with data
• •Build forecasts and scenario models
• •Define tracking requirements with engineering teams
• •Ensure clean and scalable event structures
• •Develop dashboards and reporting systems
• •Analyze mobile and web client behavior
• •Investigate network traffic and reproduce errors
• •Support incident response for platform changes
• •Develop internal debugging and monitoring tools
• •Document findings for engineering teams
• •Collaborate with backend teams to prioritize fixes

Tools & Technologien

Benefits