Analytics Engineer
Role details
Job location
Tech stack
Job description
As an Analytics Engineer at Gemma, you play a critical role in helping our clients generate meaningful business value from their existing data. You transform raw information into clear, reliable insights by identifying patterns, uncovering opportunities, and enabling data-driven decision-making. By collaborating closely with clients, you help translate real-world challenges into practical, well-designed analytical solutions. During your first months, you will be supported by experienced team members to ensure a smooth onboarding and strong technical foundation.
You will work on complex, high-impact analytical problems across a diverse range of startups and SMEs, contributing directly to their ability to make informed, strategic decisions. Responsibilities:
- As we are tooling-agnostic, you will touch multiple technologies and understand the in's & out's what is currently possible in the data landscape
- Collaborate and connect with domain experts to solve data obstacles in various industries
- Develop advanced data reporting and visualizations
- Apply data modeling methodologies and contribute to a robust data platform for our clients, We are located in Berlin, close to Nordbahnhof. We are currently 18 colleagues and will grow to 24 colleagues in 2026. Other perks include
- We have an honest, inclusive work environment and want to nurture this environment
- We have frequent team events in Berlin: our cultural base
- We encourage workations and even do workations as a company - it is up to you to come to the office between one and five days a week
- We don't compromise on equipment - a powerful Laptop, extra screens, and all the tools you need to be effective
- We will surround you with great people who love to solve (mostly data) riddles
- We believe in efficient working hours rather than long working hours - we focus on the output rather than the input
- We learn and share during meetups, lunch & learn sessions and are open for further initiatives
- We pay a market-friendly salary and we additionally distribute at least 20% of profits to our employees
- We are fast-growing, have technology at our core, yet we do not rely on a VC and operate profitably
- We have a great yearly offsite event that brings us all together for a full week, enjoying good food, having a good time, and of course, solving complex data-related tasks solving complex data-related tasks
How you'll get here
- CV Screening
- Initial Conversation
- Hiring Test @home
- Interviews with 2-3 future colleagues
- Reference calls
- Offer + Hired
Requirements
Do you have experience in SQL?, We believe in a good mixture of experience and upside in our team. We are looking for both types of people equally. For this mid-level role, we are looking for people with initial experience, and also with curiosity, openness to learning, and a structured mindset who are enthusiastic to solve numerical riddles while keeping in mind the business context.
Besides that, we are looking for the following:
- Experience with SQL and relational databases
- Business Fluency (C2 or native) in German and English
- Good understanding of data modeling techniques (e.g. Data Vault or Kimball's Dimensional Modelling) and data warehousing in general
- Bonus:
- Experience with one or more programming languages (Python preferred)
- Experience with one or more data visualization tools
- Experience with managing stakeholders and/or clients