Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg, Berlin, Dusseldorf
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop ETL/ELT processes and data pipelines, analyze large datasets to identify trends, and present results for informed decision-making in business units.
Job Technologies
Your role in the team
- Data is no longer a byproduct for us, but the foundation for strategic decisions, daily operational business, and increasingly also for AI-supported applications.
- Standardization and preparation of our data assets across various source systems (Controlling, CRM, Ticketing, HR, etc.).
- Development and maintenance of ETL/ELT processes and data pipelines as a reliable data foundation for business units and BI tools.
- Modeling and provisioning of clean, well-documented datasets that enable Power BI, HubSpot, and similar tools to operate efficiently.
- Ensuring data quality, consistency, and integrity (master data, historization, plausibility).
- Independent analysis of large datasets to identify trends, patterns, and anomalies.
- Close collaboration with specialist departments (Marketing, Sales, Finance, Operations) to translate technical issues into robust data models and analyses.
- Preparation of datasets that can serve as a basis for future AI use cases.
- Presentation of results and recommendations for action to departments and management.
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Our expectations of you
Education
- Completed degree in (Business) Informatics, Mathematics, Statistics, or a comparable qualification.
Qualifications
- Knowledge in cloud data platforms (Azure, AWS, or GCP) is desirable.
- Understanding of data quality, governance, and documentation.
- Analytical thinking skills and a strong affinity for numbers and data.
- Structured, independent, and solution-oriented way of working.
- Strong communication skills - You can explain complex issues clearly and mediate between the business and technical departments.
- Team spirit and enjoyment of interdisciplinary collaboration.
- Excellent spoken and written proficiency in German and English.
Experience
- At least 2 years of professional experience as a Data Analyst, Analytics Engineer, Data Engineer, or in a comparable position.
- Solid SQL skills as well as experience in data modeling (relational and/or dimensional, e.g., star schema).
- Practical experience with data preparation, transformation, and automation.
- Experience in building and operating ETL/ELT pipelines.
- Proficient in common BI tools (e.g., Power BI, Tableau, Looker) - at least as a consumer and data provider, ideally with hands-on experience in modeling.
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What we offer
- A diverse range of tasks with constantly new challenges.
- Comfortable working conditions in a modern office building in a central location (Düsseldorf and Hamburg) or in a villa modernized for Smart-Office (Berlin).
- Hybrid working.
- Regular free training courses and certifications up to 6,000 euros per year.
- A proven onboarding process.
- A lived team spirit.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Mahr EDV GmbH
Mahr EDV ist ein inhabergeführtes IT Systemhaus für KMU-Kunden mit 10-100+ PCs. Seit 1999 sorgen wir mit umfassenden IT Dienstleistungen dafür, dass kleine und mittelständische Unternehmen vorrangig in Berlin, Potsdam, Düsseldorf und Umgebung störungsfrei arbeiten und sich auf ihre Kerngeschäfte konzentrieren können. Zuverlässig stellen wir rund um die Uhr an 365 Tagen im Jahr eine Regelreaktionszeit von weniger als zwei Stunden sicher
Description
- Founding year
- 1999
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Data Analyst / Analytics Engineer
- Location
- Hamburg, Berlin, Dusseldorf
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
