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ABOUT YOU GmbH
OHB SE
A leading advertising firm in Berlin seeks an Analytics Engineer to enhance its data infrastructure and ensure data is clean and ready for analysis. Join a collaborative team where you'll design data models, automate reporting, and support cross-functional analytics needs. Ideal candidates have 2-4 years of experience in analytics roles and proficiency in Python and SQL, with a passion for turning data into actionable insights. This position includes innovative perks to promote your growth and well-being.
Almedia is the fastest-growing advertising company in Europe according to the FT1000, offering mobile game and app developers unparalleled returns from rewarded user acquisition. We are engineering the future of UA with our data-driven approach and community of over 50 million users engaging with games, apps, and surveys.
Based in the heart of Berlin, our collaborative approach offers the opportunity for our clients to acquire 10,000 users daily, providing consistent value and improved ROAS in the short and long term.
Join our team as an Analytics Engineer, where you'll ensure our data is clean, accessible, and ready for analysis. As a core member of our analytics team, you’ll ensure our data infrastructure effectively supports self-service analytics, insightful reporting, and business intelligence across the organization.
Design, build, and maintain clean, scalable, and performance-optimized data models using SQL and dbt.
Apply software engineering practices to analytics code, including version control, testing, and continuous integration.
Automate and streamline data validation, testing, and reporting processes.
Take ownership of data analysis for a designated domain, collaborating closely with Product Analysts, Data Scientists, and Business Stakeholders to meet their analytical and reporting needs.
Proactively monitor data integrity, identify issues, and perform root cause analysis.
Maintain comprehensive data documentation and definitions for easy reference and understanding.
Train business users on utilizing the data platform and data visualization tools effectively.
2-4 years of experience as an Analytics Engineer, Data Analyst, or similar role.
Strong experience in data engineering and analytics, with proficiency in Python and SQL.
Strong understanding of data warehousing concepts, data modeling, and performance optimization.
Knowledge of data validation, testing frameworks, and version control best practices (Git).
Familiarity with modern data stacks (dbt, Snowflake/BigQuery/Redshift, Dagster/Airflow) and cloud data platforms (GCP, AWS).
Excellent communication skills for training and supporting business users.
Ability to maintain detailed data documentation and definitions.
Passionate about transforming data into actionable insights.
A detail-oriented problem-solver who excels in a collaborative environment.
Eager to innovate and continuously improve data processes.
Become an owner: As part of our virtual equity option policy, you’ll have the opportunity to share in Almedia’s success and growth.
Innovative and high-growth: Join a startup that has been profitable from day one and is rapidly scaling its impact in the Ad-Tech space.
Berlin Office & Collaborative Hub: Work primarily from our modern, centrally located Berlin office, designed to foster strong collaboration, team connection, and organic growth as we build together.
Other Benefits: Enjoy a range of benefits designed to support your well-being and growth, including weekly breakfast and lunch at the office, a public transport ticket, gym membership, language classes, and with more exciting additions on the horizon.
We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth—whether you aspire to be a future leader or a specialist. Almedia is an equal opportunity employer; we embrace and celebrate diversity, encouraging individuals from all backgrounds to apply.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.