9 beste Stellen als assistant general in berlin, be – aktuell auf Personalsuche

AI & Analytics Engineer
Gemma Analytics —Berlin
- 56.700 € – 69.300 € pro Jahr
- Vollzeit
- Datenbanken
- Künstliche Intelligenz
- Python
Direkt bewerben
8 Tage
First In-House Counsel (m/f/d)
HOLY Softdrinks GmbH —Berlin
- Vollzeit
- Marketing
- Flexible Arbeitszeiten
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Senior UI/UX Developer
ivy tech —Berlin
- Vollzeit
- Informatik
Senior Backend Engineer (all genders) - Vehicle Foundation
MOIA GmbH —Berlin
- AWS
- C++
- Linux
- Homeoffice-Möglichkeit
Assistant Director of Finance (m/w/d)
InterContinental —Berlin
- Englisch
- Analysefähigkeit
- Rechnungswesen
Team Assistant (m/w/d) Finance & Operations | Elternzeitvertretung | Quereinsteiger*Innen willkommen
JSA-Jones Lang LaSalle SE —Berlin
- Vollzeit
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- Weiterbildungsprogramme
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Wolters Kluwer —Berlin
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AI & Analytics Engineer

Gemma Analytics
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit
56.700 € – 69.300 € pro Jahr
vor 8 Tagen

Leistungen

Firmenevents

Qualifikationen

Datenmodellierung
Relationale Datenbanken
Datenbanken
Künstliche Intelligenz
Python
Analytik

Vollständige Stellenbeschreibung

About Gemma Analytics

Gemma Analytics helps clients to become more data-driven. As one of our AI & Analytics Engineers, you sit at the intersection of data and AI. You don't just build pipelines and dashboards, you help design and deliver intelligent, agentic solutions that create real business impact for our clients. You surface insights others miss, translate complexity into clarity, and bring a builder's mindset to every engagement.

This role is for someone who is equally comfortable writing a dbt model and prototyping an AI-driven workflow. You'll work hands-on with clients across startups and SMEs, supported by senior mentors in your first months, and grow into someone who shapes how we deliver the next generation of data and AI work.

About the job

As an AI & Analytics Engineer at Gemma, you play a critical role in helping our clients generate meaningful business value from their data and from AI. You don't just transform raw information into reliable insights; you design and build intelligent, agentic systems that automate decisions, accelerate workflows, and unlock new possibilities for the businesses we work with.

You identify patterns others miss, translate complex client challenges into practical solutions, and bring both analytical rigor and an AI-builder's mindset to every engagement. Working closely with clients, you bridge the gap between data foundations and the next generation of AI-driven applications.

During your first months, you will be supported by experienced team members to ensure a smooth onboarding and a strong technical foundation across both the modern data stack and agentic AI tooling.

Responsibilities:

As we are tooling-agnostic, you will work with multiple technologies and develop a deep understanding of what is currently possible in the data landscape
Collaborate and connect with domain experts to solve data challenges across various industries
Develop advanced data reporting and visualisations
Apply data modeling methodologies and contribute to a robust data platform for our clients
Leverage AI tools — including agentic workflows and AI coding assistants — to accelerate and enhance data work

Who you are

We believe in a strong mix of experience and growth potential in our team and we welcome applications from all backgrounds. For this mid-level role, we are looking for people with initial experience in analytics, combined with curiosity, a structured mindset, and enthusiasm for turning numbers into business insights.
Beyond that, we are looking for:

Experience with SQL and relational databases
Business Fluency (C2 or native) in German and English
First understanding of data modeling techniques (e.g. Data Vault or Kimball's Dimensional Modelling) and data warehousing in general
Experience with AI tools in a professional context, ideally including AI coding assistants (e.g. Claude Code) and agentic analytics workflows
Optional: Experience with one or more programming languages (Python preferred)
Optional: Experience in stakeholder and/or client management

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

CV Screening
Initial Conversation
Hiring Test @home
Interviews with 2-3 future colleagues
Reference calls
Offer + Hired

About us

We are Gemma Analytics: a Berlin-based company specialized in generating insights in a high-performance data infrastructure. Gemma was founded in early 2020 by two data enthusiasts. Ever since we have helped over 50 companies becoming more data-driven and successful. We have a fun, honest, and inclusive work environment. We are always looking for data-minded people we can learn from.

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Erweiterte Suche

assistant general Jobs in berlin, be

AI & Analytics Engineer

First In-House Counsel (m/f/d)

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Assistant (m/w/d) Human Resources (25 Wochenstunden)

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