Senior Marketing Data Analyst
Job Summary
We are looking for an experienced Senior Marketing Data Analyst to join a team of a global music education platform where anyone can learn play create and teach music - used by millions of people.
The company is profitable and growing fast building at the intersection of education product and tech.
Small empowered teams big user impact and a strong craft mindset.
Location: Berlin or Helsinki (hybrid)
Team: Growth (Performance Marketing ASO CRM) partnering with Analytics Engineering & Data Science squads.
Connect user acquisition to subscription outcomes. You will be the embedded data partner to Performance Marketing. Youll build the decision engine that is connecting channel spend to subscription outcomes shaping MMM (Marketing Mix Modeling) and LTV/CAC forecasts and validating impact with experimentation so the team deploys budget with confidence and grows high-quality long-lived subscribers.
Own performance marketing analytics across Google Meta TikTok and emerging channels - linking acquisition to retention and LTV.
Ensure consistent implementation validation and reporting of marketing performance metrics in alignment with definitions and priorities set by leadership.
Advance MMM (Marketing Mix Modeling) and support predictive LTV/CAC and scenario models (e.g. major promos like Black Friday).
Design/evaluate A/B experiments and incrementality (incl. geo/casual-lift) tests on creatives pricing/paywall and funnel changes.
Partner with Performance Marketing and Creative to shape testing roadmaps and interpret results into clear budget and creative decisions.
- Translate complex analyses into clear narratives that influence spend creative and roadmap decisions.
Experience: 5 years in performance/growth analytics for consumer mobile apps preferably with subscription businesses model.
Deep understanding of marketing attribution MMM A/B testing and cohort-based LTV analysis.
Advanced skills in SQL and proficiency with Python R or similar.
Tooling: Google Ads Meta TikTok; BI (Looker/Tableau or similar).
Experience working with CRM data and tools (e.g. Braze)
Experience with MMPs such as Adjust or AppsFlyer.
Economics: cohort-based LTV CAC payback subscription funnel metrics (monthly & annual plans)
Health & wellbeing: medical services/extended insurance mental health support and commuter benefits.
Lifestyle stipends & perks: allowances for lunch exercise & culture; free snacks and drinks.
Quality tools: company laptop/phone and the gear you need to do your best work.
Flexibility: hybrid setup and flexible working hours.
Required Skills:
Experience: 5 years in performance/growth analytics for consumer mobile apps preferably with subscription businesses model. Deep understanding of marketing attribution MMM A/B testing and cohort-based LTV analysis. Advanced skills in SQL and proficiency with Python R or similar. Tooling: Google Ads Meta TikTok; BI (Looker/Tableau or similar). Experience working with CRM data and tools (e.g. Braze) Experience with MMPs such as Adjust or AppsFlyer. Economics: cohort-based LTV CAC payback subscription funnel metrics (monthly & annual plans)