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Scale with AI & Automation: Develop services and leverage AI-driven workflows to automate manual operational reporting and scale our processes.
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Deep-Dive Analysis: Use BigQuery (SQL) to navigate complex operational datasets, uncovering the "why" behind inefficiencies.
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Lead Partner Performance Reviews: Take ownership of regular business reviews. You will present data-driven performance reviews that address service-level gaps and drive the conversation toward concrete improvements.
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Empower with Data: Create and maintain high-impact dashboards and ad-hoc reports that give Operations Managers the “Intelligence" they need to run hubs.
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Own your Projects: Take full responsibility for projects, from the initial data pull to the final rollout within the Ops team.
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Analytical Mindset: Currently pursuing a degree in a quantitative field (Mathematics, Statistics, Business Analytics). You are a first-principles thinker who loves uncovering insights within complex datasets.
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Technical Rigor: Strong foundation in Big Query (SQL) for data extraction and Python (Pandas, NumPy) for analysis, visualization, and automation.
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Statistical Curiosity: A strong interest in statistical testing methodologies and the ability to interpret results to drive real business impact.
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Business Acumen: The ability to connect a line of code to a real-world business outcome. You understand that "good data" is data that leads to faster delivery.
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Serious Communication: You can translate your findings into a compelling narrative, whether you are talking to a Hub Manager or to the C-level.
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Ownership: You don't just follow a task list; you proactively identify opportunities to improve the status quo.
- Unlimited access to an e-learning and training platform, MyAcademy, including online German courses
- Online discounts with Corporate Benefits and Future Bens
- A cool discount on your personal Flink orders; be the first to test new products!
- A modern and dog-friendly office in the heart of Berlin - lots of delicious food options within walking distance
It is our commitment that every applicant will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion.
