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, payback, and LTV.
• Build robust dashboards & reporting (Looker/Tableau or similar) for live campaign monitoring and decisioning.
• Advance MMM and support predictive LTV/CAC and scenario models (e.g., major promos like Black Friday).
• Design/evaluate A/B and incrementality (incl. geo/casual-lift) tests on creatives, pricing/paywall, and funnel changes.
• Run deep EDA (exploratory data analysis), segmentation, and cohort analysis by geo/audience; surface opportunities, risks, and next actions.
• Translate complex analyses into clear narratives that influence spend, creative, and roadmap decisions.
• You won’t own pipelines; you’ll collaborate with analytics/data engineering to get the right data in place.

Scope & Focus

• Mobile-first today; expanding to more web analytics next year.
• Work alongside Performance Marketing (they execute campaigns); you provide analysis, experimentation, and decision support.

Requirements

• Experience: 4–6+ 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).
• Economics: cohort-based LTV, CAC, payback, subscription funnel metrics (monthly & annual plans).
• Communication: sharp data storytelling; influence across marketing & product.
• Mindset: curious, pragmatic, outcome-oriented—treats Growth as a product.

Benefits

• Hybrid work in Berlin or Helsinki with modern offices in both cities.
• 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.