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.

Your Mission

Connect user acquisition to subscription outcomes. You will be the embedded data partner to Performance Marketing. You’ll 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.

What You’ll Do

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.

You'll work alongside Performance Marketing and CRM(they execute campaigns); you provide analysis, experimentation, and decision support.

You won’t own pipelines; you’ll collaborate with analytics/data engineering to get the right data in place.

Requirements

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.

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.

#J-18808-Ljbffr