Marketing & Growth Data Analyst
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Job Description
Marketing & Growth Data Analyst optimizing paid marketing, customer funnels, and product growth analytics. Supporting FinTech investment platforms with data-driven budget and product decisions.
Responsibilities:
- Own the analytical view of paid marketing channels and evaluate KPIs such as CAC, ROAS, payback periods, and budget allocation
- Develop attribution expertise from first-/last-touch models to incrementality analysis
- Manage the mobile attribution setup and connect app and web identities
- Analyze campaigns and derive recommendations for budget allocation and optimization
- Analyze the customer funnel from first contact through registration, first trade, and beyond
- Develop cohort and retention analyses
- Support A/B tests and product experiments from hypothesis development through statistical evaluation
- Translate user behavior into economic value, including LTV modeling, activation drivers, and churn signals
- Derive actionable recommendations for Marketing, Product, and Management
- Define tracking requirements and ensure data availability for robust analyses
- Develop dashboards and self-service analytics solutions based on Databricks
- Consider privacy and consent requirements as framework conditions 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 significant paid marketing budget
- Excellent SQL skills
- Strong understanding of digital tracking, marketing attribution, and customer journeys
- Experience with at least one common BI or visualization tool, such as Power BI, Tableau, or Looker
- Ability to build intuitive dashboards for non-technical stakeholders
- Ability to translate complex analytical findings into concrete decisions for Marketing, Product, or Executive Management
- Independent and structured approach to work
- German language skills 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, and financial markets, trading, or brokerage
Benefits:
- Remote work options
- Up to 15 days of workation within the EU per calendar year
- Training courses, seminars, and conferences
- Modern office hubs
- Professional development opportunities in financial markets and investing
- Regular team events and a strong company culture
- Health and mobility benefits, including a bike leasing program and public transport subsidy
- Attractive financial benefits and additional perks
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