Marketing & Growth Data Analyst – m/f/d

This is a fully remote position, open to applicants in Germany.

📋 Description

• Take ownership of the analytical viewpoint for paid marketing channels, assessing KPIs such as CAC, ROAS, payback periods, and budget distribution.

• Transition attribution from conventional first-touch/last-touch models to a focus on measuring incrementality.

• Enhance the mobile attribution framework and connect app and web identities.

• Collaborate with the Marketing team to analyze campaigns and provide recommendations for budget distribution and optimization.

• Evaluate the complete customer funnel, from initial contact to registration, first trade, and beyond.

• Create cohort and retention analyses.

• Assist with A/B testing and product experiments, overseeing everything from hypothesis formulation and KPI definition to statistical analysis.

• Convert user behavior into economic value, encompassing LTV modeling, activation drivers, and churn indicators.

• Generate actionable insights for Marketing, Product, and Management teams.

• Establish tracking requirements with stakeholders and guarantee data accessibility for dependable analyses.

• Design dashboards and self-service analytics solutions utilizing Databricks.

• Take into account data protection and consent requirements as foundational elements for tracking, attribution, and analytics.

⛳️ Requirements

• 2–5 years of relevant professional experience in Marketing Analytics, Growth Analytics, Web Analytics, or Product Analytics.

• Ideally, familiarity with a digital business model that includes a substantial paid marketing budget.

• Proficient SQL skills are essential.

• A solid understanding of digital tracking, marketing attribution, and customer journeys.

• Experience with at least one recognized BI or visualization tool, such as Power BI, Tableau, or Looker.

• Capability to create intuitive dashboards for non-technical stakeholders.

• Skill in translating complex analytical insights into actionable decisions for Marketing, Product, or senior management.

• Independent and organized working approach.

• Proficiency in German at C1 level.

• Nice to have: experience with or knowledge of dbt and/or Python, lakehouse platforms and modern data stacks, Snowplow, GA4 or similar event-tracking systems, mobile attribution using Adjust or AppsFlyer, ad tech, reverse ETL, and experience in financial markets, trading, or brokerage.

🏝️ Benefits

• Options for remote work.

• Up to 15 days of workation within the EU each calendar year.

• Access to training courses, seminars, and conferences.

• Modern office hubs.

• Opportunities for professional development in financial markets and investing.

• Regular team events and a vibrant company culture.

• Health and mobility benefits, including JobRad and public transportation subsidies.

• Competitive financial benefits and additional perks.