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Data Warehouse Analyst @ Qodeca Sp. z o.o.

Data Warehouse Analyst @ Qodeca Sp. z o.o.

Qodeca Sp. z o.o.Lublin, Poland
29 days ago
Job description

What can you expect in return?

  • Part-time contract (approx. 0.5 FTE) from October to December, with the possibility of extension .
  • Competitive rate : 130–150 PLN net+VAT / h (B2B) .
  • 100% remote work with flexible hours.
  • Opportunity to shape data practices and analytical standards across projects.
  • Collaborative environment with experienced data professionals.
  • Access to modern technologies within the Microsoft Fabric ecosystem.
  • Real impact : your work will directly influence how business decisions are made through data.

Ready to join us?

If you are a data professional who enjoys turning complex data challenges into structured analytical solutions, apply now! We look forward to meeting you and discovering how you can contribute to our growing data environment.

Are you an experienced Data Analyst or Data Warehouse Analyst ready to shape the future of data-driven decision-making?

Due to new projects and growing analytical needs, we are looking for a skilled and detail-oriented Data Warehouse Analyst to join our team on a part-time basis (approx. 0.5 FTE). If you’re passionate about data modeling, business process translation, and building scalable analytical solutions — we’d love to hear from you!

We are looking for someone who :

  • Has excellent SQL skills (profiling, analytics, window functions, CTEs).
  • Is experienced in multidimensional modeling (Kimball) and SCD 1 / 2 handling.
  • Can translate business processes into logical models and complete STT documentation.
  • Is familiar with Power BI semantic modeling, measures, and RLS / CLS.
  • Understands the Microsoft Fabric ecosystem (OneLake / Lakehouse, Data Warehouse, Dataflows Gen2, Pipelines, Event Streams).
  • Has experience in data quality rules, SLO / SLA definitions, and conducting business workshops.
  • Is comfortable working with data catalogs, Azure DevOps, and Git.
  • Communicates effectively in English (B2+) and Polish (C1+).
  • Has a flexible approach to working hours and openness to partial work in the afternoons and evenings (working with clients from the United States).

    • Nice-to-have skills :

  • Experience in DWH migrations and reconciliation (parallel runs).
  • Working knowledge of DAX and Python / pandas for EDA or prototyping.
  • Familiarity with PySpark / Spark.
  • Understanding of Data Vault and / or Data Mesh concepts.

    • What can you expect in return?

  • Part-time contract (approx. 0.5 FTE) from October to December, with the possibility of extension .
  • Competitive rate : 130–150 PLN net+VAT / h (B2B) .
  • 100% remote work with flexible hours.
  • Opportunity to shape data practices and analytical standards across projects.
  • Collaborative environment with experienced data professionals.
  • Access to modern technologies within the Microsoft Fabric ecosystem.
  • Real impact : your work will directly influence how business decisions are made through data.

    • Ready to join us?

    If you are a data professional who enjoys turning complex data challenges into structured analytical solutions, apply now! We look forward to meeting you and discovering how you can contribute to our growing data environment.

    ,[As a Data Warehouse Analyst, you will play a key role in designing, maintaining, and optimizing our analytical ecosystem. Your responsibilities will include : , Translating business processes into data models : Collaborate with business owners to define KPIs and metrics, ensuring their clarity, consistency, and proper versioning in the semantic layer or metrics repository., Designing conceptual and logical data models : Define facts, dimensions, and data granularity; prepare comprehensive STTs (Source-to-Target Mappings) including SCD rules, conversion logic, and edge cases., Ensuring data quality and reliability : Define SLO / SLA for data freshness and completeness; establish and maintain quality rules with clear acceptance criteria., Supporting migration and validation : Conduct UAT sessions and data reconciliation during DWH migrations (parallel runs)., Collaborating with DWH engineers : Co-create the semantic layer for Power BI (measures, calculations, RLS / CLS) and define requirements for silver / gold layers., Maintaining documentation : Keep data dictionaries, lineage documentation, and architectural decisions (ADR) updated in the data catalog and Azure DevOps, versioned in Git.] Requirements : SQL, Power BI, Data warehouse, Azure DevOps, Git

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    Data Analyst • Lublin, Poland