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Lead Data & Analytics

New

Job

  • Level
    Lead
  • Job Field
    BI, Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    from 70.000 โ‚ฌ gross/year
  • Location
    Linz
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will develop innovative DWH, BI, and AI solutions in Azure and Databricks, shape a future-proof Corporate Data Model, and lead the migration to Power BI Cloud while ensuring data quality and governance.

    Job Technologies

    Your role in the team

    • Key professional role in the rebuild of the DWH, BI, and AI platform as well as in the further development of Oracle towards Azure and Databricks.
    • Development of a sustainable corporate data model in collaboration with controlling, accounting, reporting, risk management, and other specialist departments.
    • Further development of Power BI into a central reporting platform as well as the establishment of uniform standards for dashboards, permissions, and self-service BI, including planning and implementing the migration to the Power BI cloud platform.
    • Ensuring clear project structures as well as the creation and maintenance of comprehensible project documentation, meaningful status reports, and well-founded decision-making bases for committees and management.
    • Ensuring compliance with governance requirements, data quality, GDPR-compliant data processing, as well as economic and regulatory demands throughout the entire project lifecycle.

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    Our expectations of you

    Education

    • Completed technical or business education with a focus on Business Informatics, Data Engineering, Data Modeling, Business Intelligence, or a comparable qualification.

    Qualifications

    • Very good understanding of data architectures, interfaces, pipelines, migrations, data quality, and governance in complex enterprise landscapes.
    • Analytical, structured, and decisive working style with strong implementation skills.
    • Very good German language skills as well as good English skills for collaboration with international partners and subsidiaries.

    Experience

    • Several years of experience with Data Warehouse, BI, data modeling, and reporting, ideally with Power BI, Azure Services, Databricks, SQL, and Python.
    • Experience in project management and coordination between departments, IT, external partners, and management.

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    What we offer

    • Creative freedom in building a modern data platform with high visibility within the company.
    • Collaboration with business units, IT, and international subsidiaries within a forward-looking corporate group.
    • Comprehensive training and development programs.
    • Flexible working hours including the possibility of working from home.
    • For this position, we guarantee an attractive and market-appropriate compensation package that reflects your qualifications and professional experience.
    • The minimum annual salary for this position is EUR 70,000 gross (including special payments) on a full-time basis.
    • You can find more information in our collective agreement.

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    Benefits

    Higher Take-Home Pay

    Work-Life-Integration

    Food & Drink

    Health, Fitness & Fun

    Topics You Will Work On

    Job Locations

    • Location Linz

      Oberรถsterreich

      Austria

    About Your Employer

    Raiffeisen Gruppe

    Raiffeisen Gruppe

    Graz, Feldkirch, Salzburg, Wien, Wien, Wien, Wien, Linz, Linz

    With over 24,700 employees working in 1,955 bank branches, Raiffeisen is the largest banking group in the country.

    Description

  • Founding Year
    1905
  • Language
    English
  • Company Type
    Established Company
  • Working Model
    Full Remote, Hybrid, Onsite
  • Industry
    Banking, Finance, Insurance
  • Logo Raiffeisen Gruppe

    Lead Data & Analytics

    Salary
    from 70.000 โ‚ฌ gross/yearEstimated net salary based on the gross salary in the job ad.from 46.429 โ‚ฌ net/year
    Location
    Linz
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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