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Tier-1 brand, metro location and common mid-level FP&A title increase candidate competition significantly.
Strong FP&A, consolidation and finance domain requirements make background fit highly industry-specific.
Role requires specific finance systems plus SQL, Python, Power BI and Databricks expertise, raising filter strictness.
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Lead development and optimization of the Group’s analytics platform using Power BI, focusing on data architecture, integration, and visualization.
Monitor and troubleshoot data quality and process issues in Azure Databricks SQL Warehouse, Azure Data Factory pipelines, and data extraction processes.
Support users by providing technical assistance, creating documentation, and delivering training on Power BI and financial data analytics.
Strong proficiency in SQL and Python for handling large datasets and complex computations.
Experience with data modeling in Azure Databricks and Azure Data Factory.
Strong skills in designing, building, and deploying Power BI dashboards and reports.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in financial data analytics with a strong understanding of financial accounting and control.
Hands-on experience with financial consolidation tools like SAP BFC or Hyperion or similar.
Capable of translating complex business requirements into technical documentation and actionable BI solutions.