Powered by advanced AI, first-party data and world-class engineers, we’ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime and Arcade – now the fastest growing rewarded advertising channel globally – driving incremental engagement, retention, and revenue. Our focus lies in building adjoe’s own Ad Network– a smart bidder leveraging machine learning to optimize campaign performance by predicting conversion probability and lifetime value in real time.
We’ve also developed tools through which app publishers can manage their integration, analyze monetization performance, and assess ad user experience through dashboards and APIs.
Contribute to High-Impact projects : You’ll work alongside the team to tackle complex data problems. Help building Reliable Data Pipelines: You’ll help organize our data workflows using tools like dbt and Airflow. You’ll help build clean and automated data layers that the whole product team can trust for reporting.
Data Collection & Quality Assurance: Design and manage scalable data collection and validation processes, ensuring high-quality, reliable datasets through systematic cleansing, monitoring, and quality control practices.
Data Analysis: Apply statistical techniques and data mining methods to extract valuable insights from structured and unstructured data.
Data Visualization: Create clear and compelling visualisations, dashboards, and reports to communicate findings effectively to stakeholders.
Collaborative Decision-Making: Work closely with cross-functional teams, including business stakeholders, to understand their requirements and provide analytical support.
Data-driven Recommendations: Present findings and actionable recommendations based on data analysis to drive operational improvements, optimise processes, and enhance business strategies.
You’ll evaluate SDK-side experiments to support the rollout of profitable features
Data Governance: Ensure data integrity, security, and compliance with relevant regulations and policies.
Continuous Learning: Stay updated with the latest tools, techniques, and industry trends in data analytics and contribute to the growth and development of the data analytics function within the organisation.
Experience: 5+ years of experience in data analysis or related fields, with a demonstrated progression in responsibility and project diversity; Proven experience providing technical guidance and mentorship to junior or mid-level data analysts.
Bachelor’s or Master’s degree in Computer Science, Data Science, Informatics, or a related discipline, preferably with a strong foundation in mathematics.
Advanced SQL: Mastery of Window Functions, CTEs, and handling deeply nested JSON/Map types. Expert ability to optimize heavy Trino (Athena) operations for performance and cost-efficiency within Datalake environments handling a daily data volume of 5TB+.
Proficient in Python for evaluating A/B tests (Power Analysis, P-values, Bayesian methods).
Complex data manipulation: Expertise in Python for complex data transformation, specializing in memory-efficient processing to ensure scalable analytics pipelines and consistent reporting performance under massive daily data volumes.
Proven track record of identifying business "blind spots" and independently proposing/executing data projects that improve operational efficiency or revenue, preferably in an AdTech environment.
Analytics Engineering (Big Plus): Experience organizing data workflows using dbt (or similar tools) to create clean, reliable datasets for reporting. Familiarity with Airflow (or similar tools) to automate and schedule data updates.
Benefits to Support Your Ambitions
Invest in Your Future : Regular feedback and our development program support your growth, helping you expand your skillset and achieve your career goals.
We support every ambition—from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home.
Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP).
Participate in regular team and company events, including hackathons and social gatherings. Our mission is to create an inspiring work environment for amazing people to achieve extraordinary things. Be part of it!
Tell us about your most passionate personal project, your desired salary, and your earliest possible start date.