Analytics Engineer - Data & AI (all gender), hybrid

Your tasks

We've grown rapidly, have fantastic products, a real brand, and last year we surpassed €10 million in revenue. Now we want to position the company for the next stage of growth. For this, we need you: You'll clean up our historically grown system landscape, build a scalable data foundation, and take responsibility for our data and AI area. You love clean code and complex datasets just as much as the big picture. You're eager to build structures from the ground up and aren't afraid to get hands-on.

• Architecture & Engineering: You will (re)build our data warehouse, develop the most important interfaces and bring order to a highly complex business (multiple shops, large retail network, procurement, shop management, performance marketing, product development).

• Process optimization & automation: You identify manual bottlenecks, reduce the complexity of our system landscape and automate processes across departments.

• Analytics & Reporting: You will conduct complex analyses based on our shop and marketing data, build dashboards, and ensure that all areas of the company have the data they need at all times.

• AI Integration: You will integrate state-of-the-art, AI-driven systems (e.g., LLMs like Gemini or Claude) into our business processes to give us a decisive efficiency advantage.

• Strategic interface: You work directly with management and, as a central hub, ensure that we make sound, data-driven decisions throughout the company.

• Change Management: You're a data nerd who doesn't just code in isolation. You take the team along on the journey, inspire enthusiasm for data, and proactively develop this topic within our company.

Your profile

• Experience: You have 2-3 years of professional experience in the data environment and are ready for the next step, where you will develop your own topics.

• Education: You have a completed degree in Data Science, Statistics, Mathematics, Business Informatics, Industrial Engineering or a comparable field.

• Tech stack (must-haves): You bring excellent, proven knowledge of SQL and Python.

• AI & Innovation: You already have solid experience in handling and integrating modern AI systems and LLMs (e.g., Gemini, Claude, OpenAI APIs).

• Analytical depth: You have sound statistical knowledge, above-average analytical skills, and simply enjoy recognizing patterns in numbers.

• Entrepreneurial mindset: You think beyond the code. You have a quick grasp of concepts, work in an extremely solution-oriented manner, and understand the business logic behind the data.

• Hands-on & Proactive: You are flexible, work completely independently and enjoy tackling things boldly instead of waiting for finished concepts.

• Team player & communicator: You are friendly, communicative and can explain complex technical issues in a way that is understandable even to non-IT people.

Why us?

• As a welcome gift, you'll receive a €300 watch budget - so you can experience our products for yourself from day one!

• Modern office with top-of-the-line equipment - you get everything you need: laptop, monitor, headset.

• Flexible working hours & hybrid work models

• Monthly additional benefits: €50 tax-free benefit in kind + job ticket + e-bike card + fuel card.

• Personal development through diverse training opportunities and career advancement prospects.

• Strong team spirit with regular events, attractive employee discounts and genuine camaraderie.

About Us

Do you want to become part of our team and enjoy working independently and responsibly? Are you interested in working in a motivated and ambitious team? Then STERNGLAS is just right for you!

STERNGLAS began in 2016 as a one-man show: Today, we are a team of 18 responsible for STERNGLAS's success to date and its continued growth. We value everyone who is always eager to seek new knowledge and experience.

We offer you a unique team and a vibrant work environment: a place where you can take initiative and seize opportunities. A place where you can truly make a difference!