Working Student Data Analyst (d/f/m) — Opportunihub
Job

Working Student Data Analyst (d/f/m)

Bettermile · Better Place, Oranienstraße 183, Berlin

At a glance

Type
Job
Organisation
Bettermile
Location
Better Place, Oranienstraße 183, Berlin
Work mode
On-site
Deadline
Rolling / not stated
Posted
28 Aug 2026

About this job

<h2><strong>What is working at Bettermile like?</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">🌟 We have a very supportive and appreciative working environment with a lot of autonomy, a flat hierarchy, and professional growth possibilities</p></li><li><p style="min-height:1.5em">🌍 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</p></li><li><p style="min-height:1.5em">🚀 You can quickly take on responsibility without feeling left alone. Your team is always at your side</p></li><li><p style="min-height:1.5em">🎨 We mean it when we say “cutting edge” and have a high level of creative freedom in our everyday work</p></li><li><p style="min-height:1.5em">🏢 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 &amp; pet-friendly Better Space in the heart of Berlin-Kreuzberg</p></li><li><p style="min-height:1.5em">✈️ Remote work from anywhere for up to 12 weeks in total in a year</p></li><li><p style="min-height:1.5em">🛌 Enjoy 27 vacation days (with a 5-day week model)</p></li><li><p style="min-height:1.5em">🍎 Regular team breakfasts, fitness &amp; 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</p></li><li><p style="min-height:1.5em">💡 Outstanding flexibility we are proud of – and of course, the best colleagues in the world!</p></li></ul><p style="min-height:1.5em"></p><h2><strong>You will be taking care of</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Maintain, improve, and build in-production dashboards and reports</p></li><li><p style="min-height:1.5em">Conducting routine data quality checks, data hygiene, and maintaining documentation across our pipelines</p></li><li><p style="min-height:1.5em">Conducting exploratory data analyses on operational and product metrics (e.g., user behavior, feature impact on KPIs) and translating findings into actionable insights</p></li><li><p style="min-height:1.5em">Handling ad-hoc data requests and supporting cross-functional teams (product, engineering, operations)</p></li><li><p style="min-height:1.5em">Contributing to the maintenance, triage, and optimization of data pipelines and our data platform</p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Our stack</strong> (you do not have to already know these tools): Snowflake, AWS Data Lake, SQL, Python, AWS QuickSight, Metabase, dbt, Jira, and Confluence.</p><p style="min-height:1.5em"></p><h2><strong>You check these boxes</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">You are currently enrolled in a relevant STEM-focused program (e.g., Computer Science, Data Science, Business Analytics, Mathematics, Information Systems)</p></li><li><p style="min-height:1.5em">You are proficient in Python and SQL (university projects are enough)</p></li><li><p style="min-height:1.5em">You have hands-on experience in data analysis and data visualization</p></li><li><p style="min-height:1.5em">You are curious, detail-oriented, and possess strong problem-solving skills</p></li><li><p style="min-height:1.5em">You communicate confidently in English and are proactive</p></li><li><p style="min-height:1.5em">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)</p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Important: </strong>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.</p><p style="min-height:1.5em"></p><h2><strong>It is awesome if you also have</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Any exposure to AI concepts, prompt engineering fundamentals, or experience calling LLM APIs via Python</p></li><li><p style="min-height:1.5em">We value long-term collaboration: the more time remaining in your degree, the better!</p></li></ul><h2><strong>Take your chance</strong></h2><p style="min-height:1.5em">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.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Currently, we’re proceeding only with candidates authorized to work in Germany or who already hold a Job Seeker Visa.</strong></p><p style="min-height:1.5em"></p><h2><strong>About us</strong></h2><p style="min-height:1.5em">At Bettermile, 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.</p><p style="min-height:1.5em">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.</p><p style="min-height:1.5em">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.</p><p>Find more <a href="https://www.arbeitnow.com/english-speaking-jobs">English Speaking Jobs in Germany</a> on Arbeitnow</a>

How to apply

  1. 1 Read the full details above and confirm you meet the eligibility criteria.
  2. 2 Prepare your documents — an updated CV, and any cover letter, proposal or certificates required.
  3. 3 Click Apply on official site to complete your application on Bettermile’s official page.
  4. 4 Submit as early as possible — many close once filled.
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Frequently asked questions

How do I apply for Working Student Data Analyst (d/f/m)?

Review the full details and eligibility on this page, prepare your documents, then use the “Apply on official site” button to complete your application on Bettermile’s official page.

Is this opportunity remote or location-based?

This opportunity is based in Better Place, Oranienstraße 183, Berlin. Check the official listing for any relocation or on-site requirements.

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