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finanzen.net GmbH

Marketing & Growth Data Analyst

finanzen.net GmbH

. Own the analytical view of paid marketing channels and evaluate KPIs such as CAC, ROAS, payback periods, and budget allocation .

Posted 10/31/2026full-timeRemote • GermanyJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Marketing Analytics, focusing on KPI evaluation, attribution modeling, and customer journey analysis. Proficient in SQL and capable of developing intuitive dashboards for stakeholders while ensuring data integrity and privacy compliance.

Highest-signal resume keywords
Marketing AnalyticsSQL SkillsDigital TrackingAttribution ModelingDashboard Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
KPI EvaluationCohort AnalysisRetention AnalysisA/B TestingLTV ModelingStatistical EvaluationBudget OptimizationData AnalysisCustomer Journey AnalysisHypothesis Development
Soft Skills
Independent WorkStructured ApproachCommunication Skills
Tools & Technologies
Power BITableauLookerDatabricksAdjustAppsFlyerSnowplowGA4DbtModern Data Stacks
Industry Keywords
Paid MarketingGrowth AnalyticsWeb AnalyticsProduct AnalyticsDigital Business ModelAd TechReverse ETLFinancial MarketsTradingBrokerage

Tech Stack

Tools & technologies
ETLPythonSQLTableau

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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