BI Developer

Remote working with occasional visits to our office in Gdańsk, Locations: Gdańsk, aleja Grunwaldzka 415, Warszawa, -, Kraków, -, Poznań, -, Wrocław, -, Gdańsk, Country code: PLFull-TimeMiddle
Salary not disclosed
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Job Details

Required Skills
SQLETLMicrosoft Power BISnowflakeBudgetingData modeling

Requirements

  • Strong proficiency in Power BI (DAX, Power Query, data modelling).
  • Hands‑on experience with Snowflake (SQL, data warehousing concepts, performance tuning).
  • Solid SQL skills for querying, transformation, and optimization.
  • Experience with ETL processes and modern data platforms.
  • Understanding of data governance and data quality principles.
  • Practical knowledge of financial controlling, including: budgeting and forecasting, variance analysis, cost allocation, profitability and margin analysis (P&L), KPI frameworks (EBIT, ROI, OPEX/CAPEX, etc.).
  • Ability to interpret financial data and translate it into meaningful insights for stakeholders.
  • Strong analytical mindset and attention to detail.
  • Ability to communicate complex data concepts to non‑technical stakeholders.
  • Proactive approach to problem‑solving and process improvement.
  • Ability to work independently and in cross‑functional teams.

Responsibilities

  • Develop, optimize, and maintain Power BI dashboards and reports focused on financial KPIs, cost structures, revenue analysis, and performance tracking.
  • Build and enhance data models in Power BI, ensuring accuracy, scalability, and alignment with financial logic.
  • Design data models in Snowflake, transformation, and quality checks.
  • Collaborate with Finance and Controlling teams to translate business requirements into technical specifications and analytical solutions.
  • Ensure data consistency across financial domains such as budgeting, forecasting, P&L.
  • Conduct data validation, troubleshoot discrepancies, and improve data quality across systems.
  • Document data models, processes, and reporting standards.
  • Support continuous improvement of BI architecture and analytics best practices.
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