Working Student Data Analyst (d/f/m)

3 дн. назад

GermanyEuropeTraineeHybrid

data analysisdashboarddocumentation

Working student role focused on maintaining and improving dashboards, conducting data quality checks, and performing exploratory data analyses.

О компании

At , we believe delivery shouldn’t be business as usual. We’re transforming last-mile logistics to drive efficiency and create a better delivery experience for everyone.
Our geo-based, AI-powered SaaS product handles complex address processing, dynamic routing, and navigation. It is built to manage many stops and multiple constraints.
We’re setting a new standard for the last mile and pushing the industry forward, powered by a skilled, international team of tech enthusiasts, logistics experts, and a product suite designed to keep evolving.

Другое

🌟 We have a very supportive and appreciative working environment with a lot of autonomy, a flat hierarchy, and professional growth possibilities
🌍 We mean diversity and we put it in numbers: 40 languages, 40 nationalities, 40% female (vs. ø26% in tech industry), and yes, we do have Schlager-Fans among us
🚀 You can quickly take on responsibility without feeling left alone. Your team is always at your side
🎨 We mean it when we say “cutting edge” and have a high level of creative freedom in our everyday work
🏢 We work in a hybrid mode with weekly team days for better collaboration and nurturing interpersonal connections. When onsite - we work in a modern kid & pet-friendly Better Space in the heart of Berlin-Kreuzberg
✈️ Remote work from anywhere for up to 12 weeks in total in a year
🛌 Enjoy 27 vacation days (with a 5-day week model)
🍎 Regular team breakfasts, fitness & wellness classes, company runs, and other events. Fruits, snacks, drinks, and coffee with a variety of milk are a given - but yes, we have them
💡 Outstanding flexibility we are proud of – and of course, the best colleagues in the world!
Maintain, improve, and build in-production dashboards and reports
Conducting routine data quality checks, data hygiene, and maintaining documentation across our pipelines
Conducting exploratory data analyses on operational and product metrics (e.g., user behavior, feature impact on KPIs) and translating findings into actionable insights
Handling ad-hoc data requests and supporting cross-functional teams (product, engineering, operations)
Contributing to the maintenance, triage, and optimization of data pipelines and our data platform
Our stack (you do not have to already know these tools): Snowflake, AWS Data Lake, SQL, Python, AWS QuickSight, Metabase, dbt, Jira, and Confluence.
You are currently enrolled in a relevant STEM-focused program (e.g., Computer Science, Data Science, Business Analytics, Mathematics, Information Systems)
You are proficient in Python and SQL (university projects are enough)
You have hands-on experience in data analysis and data visualization
You are curious, detail-oriented, and possess strong problem-solving skills
You communicate confidently in English and are proactive
You are a motivated learner who enjoys taking ownership, collaborating closely with a team, and working in a hybrid setup (2 days/week in the office)
Important: To be eligible for this role, you have to be enrolled in a university in Germany as a student and have at least 1 year left in your studies.
Any exposure to AI concepts, prompt engineering fundamentals, or experience calling LLM APIs via Python
We value long-term collaboration: the more time remaining in your degree, the better!
Be a part of shaping a fast-growing industry and make an impact from day one. You’ll have the chance to take on responsibility early, with guidance and support from experienced mentors. We foster a learning culture, collaboration on equal footing, and quick decision-making that moves things forward.
Currently, we’re proceeding only with candidates authorized to work in Germany or who already hold a Job Seeker Visa.