BI Analyst (f/m/d)
Hamburg, Germany
adjoe
adjoe is a fast-growing adtech company that ensures advertisers, publishers & brands reach their app’s reach & revenue goals.adjoe is a leading mobile ad platform developing cutting-edge advertising and monetization solutions that take its app partners’ business to the next level. Part of the applike group ecosystem, adjoe is home to an advanced tech stack, powerful financial backing from Bertelsmann, and a highly motivated workforce to be reckoned with.
Meet Your Team: Anti-Fraud Solutions
Industry experts report that 20 percent of global mobile ad spend can be identified as fraud. adjoe’s Anti-Fraud team has both validated this number and prevented fraudulent users from entering partners’ ad spend.
The team’s software includes two major components.
- A distributed backend system with modern cloud infrastructure that provides different interfaces to partners.
- A unique mobile SDK that analyzes device features to detect modifications via xposed or magisk.
With no one-size-fits-all solution, the Anti-Fraud team works with a large set of features. From detecting attempts based on data with static patterns, using proprietary solutions to detect software manipulation, marking network traffic abnormalities, and identifying when to warn or even block requests.
Join a team that is excited about the latest technologies and is highly interested in data, security, cloud computing, and mobile operating systems. Not to mention a team that celebrates many awards for leading the way in fraud prevention.
What you will do:
- Analyze data from multiple sources (AWS Athena, AWS QuickSight, Kibana, internal dashboards, spreadsheets and more) on a regular basis and extract insights from it.
- Investigate reports of suspicious activity, reveal fraudulent behavior and product performance by analyzing data, reading logs and talking to engineers.
- Document your findings and communicate them to the team.
- Challenge and contribute to product-related decisions based on your insights.
- Together with the team design effective and specific rules to combat fraud
Who you are:
- You have a degree in information technology, economics, analytics, or a similar field.
- You have 2+ years’ of relevant experience, preferably in product companies.
- You’re proficient in SQL.
- You have a strong knowledge of Python, R or Julia.
- You have an excellent understanding of data visualization and have experience building dashboards (e.g. QuickSight, MS PowerBI, Tableau, R Shiny, Streamlit, SuperSet) to showcase analysis results.
- You have great analytical skills and are able to understand an intricate system with multiple asynchronous user flows
- You are curious about cheating: how users try to fool the rules and how to spot these attempts
- You’re excited to work with data and have experience in extracting business insights from it.
- You worked closely with engineers (e.g. investigating how the system works) and are comfortable reading tech documentation.
- Plus: Experience in AdTech or Mobile App analytics
Heard of our perks?
- Work-Life Package: 2 remote days per week, 30 vacation days, 3 weeks per year of remote work, flexible working hours, dog-friendly kick-ass office in the center of the city.
- Relocation Package: Visa & legal support, relocation bonus, reimbursement of German Classes costs, and more.
- Happy Belly Package: Monthly company lunch, tons of free snacks and drinks, free breakfast & fresh delicious pastries every Monday
- Physical & Mental Health Package: In-house gym with a personal trainer, various classes like Yoga with expert teachers & free of charge access to our EAP (Employee Assistance Program) to support your mental health and well-being
- Activity Package: Regular team and company events, and hackathons.
- Education Package: Opportunities to boost your professional development with courses and training directly connected to your career goals
- Wealth building: virtual stock options for all our regular employees
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Athena AWS Data visualization Economics Julia Kibana Power BI Python QuickSight R Security SQL Streamlit Superset Tableau
Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Pet friendly Relocation support Salary bonus Team events Yoga
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