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Data Analyst (m/w/d)
SPORT 2000 Österreich
Germany · Hybrid Full-time Mid Level Today
About the role
About
We are looking for you as a Data Analyst (m/f/d) at the Mainhausen location (hybrid) to strengthen the international SPORT 2000 network with data-driven insights, modern analytics systems, and high-quality data.
Your Benefits
- Hybrid work in a 60/40 model
- Flexible and independent working time design
- Individual further training & tailored development programs
- Flat hierarchies & short decision-making paths
- Modern IT setup (SAS VIYA, Power BI, Cloud tools)
- JobRad, free parking, subsidized lunch
- Company health management & support with retirement planning
- Part of a large international network with over 3,000 sports specialty stores
Your Main Tasks
- Further development and operation of analysis systems, especially SAS VIYA
- Building and maintaining frameworks for ETL/ELT, reporting, and data quality
- Analysis of complex data sets to identify trends & growth potential
- Creation of interactive dashboards (SAS, Power BI, Power Query)
- Ensuring data quality through checking and cleaning processes
- Definition & implementation of systems for data collection and integration
- Participation in the further development of international POS data processes
- Collaboration with Category Management, Project Management & international stakeholders
- Compliance with data governance, data protection & compliance guidelines
Your Profile
- Completed studies (Business Informatics, Informatics, Statistics, Mathematics or similar)
- 3–5 years of professional experience as a Data Analyst, ideally in the sports or retail environment
- Very good knowledge of SAS, SQL, data modeling (Star Schema / Data Vault)
- Experience with Power BI, SAS VIYA, Power Query
- Knowledge of data formats (CSV, JSON, XML, EDI/EDIFACT)
- Basics in Machine Learning (SAS/SPSS or Python)
- Experience with ETL frameworks (e.g. Azure Data Factory)
- Knowledge of retail KPIs (Sell-through, GMROI etc.)
- Good English skills; French desirable
- Understanding of data protection (GDPR) and data governance
Apply Now
Have we sparked your interest? Apply now. Please use exclusively the "I am interested" button.
Skills
Azure Data FactoryCloud-ToolsData VaultData GovernanceData QualityData ModelingData VisualizationDatenschutzEDIEDIFACTETLELTEnglishFrenchJSONMachine LearningPower BIPower QueryPythonReportingRetail KPIsSASSAS VIYASQLStar SchemaXML
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