Senior Power BI Consultant

Infotree Global Solutions•Capon Bridge, WV
•Hybrid

About The Position

The client is seeking an experienced Senior Power BI Specialist to join its Global Real Estate and Workplace Management BI team in Warsaw. The role focuses on transforming complex data into meaningful insights that support business decisions by developing and enhancing BI solutions, interactive dashboards, and robust data models for real estate, workplace, and facilities management performance. Working closely with data engineers and business stakeholders, the consultant will deliver high-quality reporting solutions, improve data governance, and integrate information from multiple business systems. This is a fixed-term assignment to cover maternity leave, running from 16 November 2026 to 7 January 2028. The working arrangement is hybrid, with three days per week in the office, and the position is listed as 40 hours per week.

Requirements

  • Strong experience developing Power BI dashboards and reports.
  • Advanced proficiency in DAX.
  • Solid SQL skills and experience working with complex datasets.
  • Experience with data modelling, time-series analysis, and data visualisation.
  • An interest in UX design and effective data presentation.
  • Strong mathematical and analytical skills.
  • A proactive, self-motivated approach and the ability to work independently.
  • Excellent communication and collaboration skills.
  • Ability to translate business needs into clear, actionable insights.

Nice To Haves

  • Programming experience with Python.
  • Knowledge of SAP BW and SAP Datasphere.
  • Familiarity with version control systems and CI/CD practices.
  • Experience working with enterprise data platforms and integrating data from multiple business systems.
  • An interest in real estate, workplace, or facilities management analytics.

Responsibilities

  • Design, develop, and maintain interactive Power BI dashboards and reports.
  • Build, optimise, and maintain data models to support effective business reporting.
  • Develop advanced DAX queries and measures to deliver meaningful business insights.
  • Analyse complex datasets using SQL, time-series analysis, and data visualisation techniques.
  • Ensure data quality, consistency, governance, and ongoing performance monitoring.
  • Integrate and manage data from SAP ERP, Space Well Facility Management, Resource Finder, and Perceptyx Survey.
  • Collaborate with data engineers and business stakeholders to understand reporting requirements and translate them into practical BI solutions.
  • Continuously improve existing dashboards, data models, and reporting processes.
  • Apply best practices in version control, collaborative development, and deployment processes.
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