Data Analyst (Marketing)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Analyst (Marketing): Analyzing user behavior and marketing activities to optimize user acquisition and reward strategies with an accent on causal analysis and predictive modeling. Focus on designing end-to-end A/B tests and developing advanced user segmentation models to maximize LTV.
Location: On-site in Berlin
Company
is a fast-growing marketing technology company aiming to become Germany's second bootstrapped unicorn by rewarding users for engagement with advertisers' products.
What you will do
- Quantify the causal impact of monetary incentives and product features on user retention and long-term LTV growth.
- Own the end-to-end experimentation lifecycle, including design, power analysis, execution, and interpretation of A/B and multivariate tests.
- Predict key metrics such as Return on Ad Spend (ROAS) and identify high-value user segments.
- Develop and apply advanced user segmentation models to inform product development and personalized user experiences.
- Partner with Engineering, Product, and User Acquisition teams to translate complex data into strategic recommendations.
- Build robust analytical models and maintain data structures using SQL and Python.
Requirements
- 4+ years of experience in data analysis with a strong focus on business performance and growth metrics.
- Exceptional proficiency in SQL and Python for complex data manipulation and statistical modeling.
- Proven experience with statistics, A/B testing, data modeling, and evaluation of algorithmic solutions.
- Strong understanding of data warehousing concepts and analytical data modeling principles.
- Experience collaborating with marketing, product, and data science teams to drive business impact.
- Ability to communicate complex findings clearly to diverse audiences.
Culture & Benefits
- Equity ownership for all Berlin-based employees.
- Modern, fully-stocked central Berlin office built for collaboration.
- Transport subsidy, provided breakfasts and lunches.
- Language learning support and Urban Sports Club membership.
- Culture of growth within a profitable, fast-scaling startup environment.
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