Data Analyst

We, Heating and Refrigeration Technologies business division of GEA are leading industrial technology company that is on mission to develop AI-powered solutions to optimize energy efficiency in cooling/heating plants and refrigeration systems. Our team is on a mission to revolutionize industrial energy consumption with cutting-edge AI-driven insights and plant control. We are now looking to expand our team with a passionate and skilled, Data Analyst, a professional who can help us on our mission.

Responsibilities / Tasks

As Data Analyst you design, develop, and scale intelligent, data-driven solutions for optimizing energy usage in industrial cooling and heating plants. You’ll be at the forefront of innovation, helping businesses reduce carbon footprints and operational costs.

Your tasks & responsibilities:

• Build – Design, develop, and scale AI-powered digital solutions to optimize energy efficiency for industrial cooling and heating systems.

• Analyze – Dive into complex plant sensor data to uncover insights, trends, and opportunities. Identify impactful AI use cases to improve plant performance and energy savings.

• Operationalize – Turn AI concepts into real, value-generating use cases. Deploy robust models that deliver measurable energy and cost savings for our customers.

• Monitor – Set up and maintain monitoring systems that ensure data quality, model accuracy, privacy compliance, and a seamless user experience.

• Develop – Build scalable, autonomous data pipelines and infrastructure to support efficient AI workflows and long-term system reliability.

• Collaborate – Work closely with Product Owners, data scientists, engineers, and domain experts to co-create and deploy high-impact AI solutions.

Your Profile / Qualifications

Your profile:

• Education: Completed studies in Computer Science, Mathematics, Mechanical Engineering, or a related technical field.

• Experience: 5+ years in data analytics, data scientist, or similar role.

• Skills:

• Strong analytical and statistical modeling skills with experience in predictive analytics.

• Proficiency in Python, SQL, and experience with big data frameworks like databricks.

• Solid experience with data visualization tools (e.g., Grafana, Power BI).

• Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch or scikit-learn.

• Basic knowledge of cloud platforms (Azure, AWS, or GCP).

• Experience with industrial IoT, sensor data, or real-time analytics is a major plus.

• Mindset: Self-starter, results-oriented, proactive problem-solver, and team collaborator.

Our offer:

• Opportunity to work on cutting-edge AI applications in industrial energy optimization.

• A competitive salary in accordance with the CAO Metalektro, including holiday allowance, pension scheme, and other benefits.

• 27 holidays + 13 ADV days based on full-time.

• Flexible working arrangements, including hybrid and remote work options.

• A collaborative and innovative work environment with a high-impact team.

What happens once your  application is submitted?

You will receive an email when your application has been processed.

One of our TA Partners will review and verify if the application meets the qualifications of the role.

If your application has been successfully verified, you will be invited to a first interview either virtually or face-to-face.

Usually after the second/third interview round we will make a decision.
Please do not hesitate to reach out to our team at any stage of your application.

Did we spark your interest?
Then please click apply above to access our guided application process.