Marketing & Growth Data Analyst

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

📋 Description

• Take charge of the analytical perspective on paid marketing channels, assessing key performance indicators such as CAC, ROAS, payback periods, and budget distribution.

• Cultivate expertise in attribution, ranging from first-/last-touch models to incrementality assessments.

• Oversee the mobile attribution configuration and link app and web identities.

• Evaluate campaigns and provide insights for budget distribution and optimization.

• Examine the customer journey from initial contact through registration, the first trade, and beyond.

• Create cohort and retention analyses.

• Assist in A/B testing and product experiments from hypothesis formulation to statistical assessment.

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

• Offer actionable recommendations for Marketing, Product, and Management teams.

• Establish tracking requirements and guarantee data availability for thorough analyses.

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

• Account for privacy and consent regulations as foundational elements for tracking, attribution, and analysis.

⛳️ Requirements

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

• Ideally, prior experience in a digital business model with a considerable paid marketing budget.

• Proficient SQL skills.

• Strong comprehension of digital tracking, marketing attribution, and customer journeys.

• Familiarity with at least one widely-used BI or visualization tool, such as Power BI, Tableau, or Looker.

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

• Ability to translate complex analytical insights into actionable decisions for Marketing, Product, or Executive Management.

• Independent and methodical work approach.

• Proficiency in the German language at C1 level.

• Nice to have: Experience with or exposure to dbt and/or Python, lakehouse platforms and modern data stacks, Snowplow, GA4 or comparable event-tracking setups, mobile attribution with Adjust or AppsFlyer, ad tech, reverse ETL, as well as knowledge of 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 robust company culture.

• Health and mobility advantages, including a bike leasing program and public transport subsidies.

• Attractive financial incentives and additional perks.