Marketing & Growth Data Analyst

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

📋 Description

• Take charge of the analytical view on paid marketing channels.

• Assess CAC, ROAS, payback periods, and optimal budget distribution across Google Ads, Meta, affiliates, and other platforms.

• Enhance attribution comprehension from first- and last-touch models to insights regarding incrementality and channel contribution.

• Collaborate on the mobile attribution setup and further develop the connection between app and web identities.

• Examine and evaluate campaigns, providing recommendations for budget allocation and optimization.

• Analyze the complete customer journey, from initial contact through registration to the first trade and beyond.

• Conduct cohort and retention analyses.

• Support A/B testing and product experiments, from hypothesis formulation and KPI definition to statistical evaluation and interpretation.

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

• Generate actionable recommendations for Marketing, Product, and Management.

• Establish tracking requirements in collaboration with relevant stakeholders.

• Ensure data availability for comprehensive analyses.

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

• Consider privacy and consent requirements as foundational aspects for tracking, attribution, and analytics.

⛳️ Requirements

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

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

• Proficient SQL skills.

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

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

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

• Ability to convert complex analytical results into clear decisions for Marketing, Product, or executive leadership.

• Independent and organized working style.

• Skill in refining vague inquiries, translating them into testable hypotheses, and performing thorough analyses.

• Proficiency in the German language at a C1 level.

• Nice to have: Experience with or knowledge of dbt and/or Python.

• Nice to have: Familiarity with lakehouse platforms and modern data stacks.

• Nice to have: Experience with Snowplow, GA4, or similar event-tracking systems.

• Nice to have: Background in mobile attribution using Adjust or AppsFlyer, especially in managing consent-driven measurement gaps.

• Nice to have: Experience in ad tech, such as Google Ad Manager, header bidding, or yield optimization.

• Nice to have: Experience with reverse ETL and activating audiences in marketing tools.

• Nice to have: Experience in financial markets, trading, or brokerage.

🏝️ Benefits

• In-person workshops and team events in Karlsruhe several times a year.

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

• Opportunities for personal and professional development through training, seminars, and conferences.

• A modern working environment founded on trust, flexibility, and authentic collaboration.

• Contemporary office hubs.

• Professional development opportunities in financial markets and investing.

• Regular team events and a strong company culture.

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

• Attractive financial benefits and additional perks.