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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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