
51 - 200 employees
Founded 2016
đ¸ Finance
đł Fintech
đą Media
Finance ⢠Fintech ⢠Media
finanzen. net GmbH is a leading financial portal in Germany, providing real-time data and information on global markets. The company offers tools and resources for investors, including charts, model portfolios, and personalized news pages, catering to individual investment decisions. It operates mobile apps and has operations in Austria, Switzerland, and the USA. As a subsidiary of Axel Springer SE, finanzen. net is part of a significant digital publishing group in Europe. Additional ventures include finanzen. net zero, a commission-free trading platform, and partnerships like BSDEX for cryptocurrency trading. finanzen. net GmbH stands at the intersection of finance, investment, and digital media, expanding its reach with innovative financial tools and services.
đĽ 0 minutes ago
đŠđŞ Germany â Remote
â° Full Time
đ˘ Junior
đĄ Mid-level
đ Data Analyst
đŤđ¨âđ No degree required
đť Ghost score 25%
đŁď¸đŠđŞ German Required
Where this job comes from
Posted on finanzen.net GmbH's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

51 - 200 employees
Founded 2016
đ¸ Finance
đł Fintech
đą Media
Finance ⢠Fintech ⢠Media
finanzen. net GmbH is a leading financial portal in Germany, providing real-time data and information on global markets. The company offers tools and resources for investors, including charts, model portfolios, and personalized news pages, catering to individual investment decisions. It operates mobile apps and has operations in Austria, Switzerland, and the USA. As a subsidiary of Axel Springer SE, finanzen. net is part of a significant digital publishing group in Europe. Additional ventures include finanzen. net zero, a commission-free trading platform, and partnerships like BSDEX for cryptocurrency trading. finanzen. net GmbH stands at the intersection of finance, investment, and digital media, expanding its reach with innovative financial tools and services.
⢠Own the analytical perspective on paid marketing channels ⢠Evaluate CAC, ROAS, payback periods, and optimal budget allocation across Google Ads, Meta, affiliate, and other channels ⢠Advance attribution understanding from first- and last-touch models toward insights into incrementality and channel contribution ⢠Work with the mobile attribution setup and further develop bridging between app and web identities ⢠Analyze and evaluate campaigns and derive recommendations for budget allocation and optimization ⢠Analyze the entire customer funnel, from first contact through registration to the first trade and beyond ⢠Develop cohort and retention analyses ⢠Support A/B tests and product experiments, from hypothesis generation and KPI definition through statistical evaluation and interpretation ⢠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 with relevant stakeholders ⢠Ensure data availability for robust analyses ⢠Develop dashboards and self-service analytics solutions based on Databricks ⢠Take privacy and consent requirements into account as framework conditions for tracking, attribution, and analytics
⢠2â5 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 leadership ⢠Independent and structured working style ⢠Ability to refine vague questions, translate them into testable hypotheses, and conduct robust analyses ⢠German language proficiency at C1 level ⢠Nice to have: Experience with or exposure to dbt and/or Python ⢠Nice to have: Experience with lakehouse platforms and modern data stacks ⢠Nice to have: Experience with Snowplow, GA4, or comparable event-tracking setups ⢠Nice to have: Experience with mobile attribution using Adjust or AppsFlyer, particularly in handling consent-driven measurement gaps ⢠Nice to have: Ad tech experience, 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
⢠In-person workshops and team events in Karlsruhe several times a year ⢠Up to 15 days of workation within the EU per calendar year ⢠Personal and professional development through training, seminars, and conferences ⢠Modern working environment built on trust, flexibility, and genuine collaboration ⢠Modern 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
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