Zum Hauptinhalt springen
Zurück zu allen Stellen

Analytics Engineer

Berlin
Full-time
Permanent employee

About Gemma Analytics

At Gemma, we help organizations activate and operationalize their data using state-of-the-art technology. With our two verticals, GEM.AI for applied AI and GEM.BI for modern business intelligence, we enable clients to make better choices and take full ownership of their data.
We are service-driven at our core, focused on delivering practical, high-quality solutions that create long-term impact. You can read more about our data philosophy here.
Our clients range from Series A ventures to established SMEs, with company sizes spanning from 30 to over 13,000 employees. Across every engagement, we prioritize honesty, clarity, and a genuinely enjoyable working relationship.

About the job

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
  • Leverage AI tools (e.g., LLM-assisted analytics, AI-augmented workflows) to accelerate delivery for clients and internally
  • Apply data modeling methodologies and contribute to a robust data platform for our clients

Who you are

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
  • Exposure to AI tools in a professional context (e.g., using LLMs to assist with documentation, code, or analysis)
  • Curiosity, a growth mindset, and comfort working in ambiguity
  • 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

Gemma Perks

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 two 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

  1. CV Screening

  2. Initial Conversation

  3. Hiring Test @home

  4. Interviews with 2-3 future colleagues

  5. Reference calls

  6. Offer + Hired