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Data Analyst

Global Consultancy Network LLC
Dubai, UAE
Full Time
Entry
2 weeks ago
Power BIDAXPower QueryExcelPythonSQL
Free

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Company Description

  • GCN a global executive search and recruiting company is looking for a candidate to fill Data Analyst position.
  • Our client is well established multi national gas company offering international services in 10 countries worldwide.

Role Description

  • The data analyst shall transform raw data into actionable insights, driving critical business decisions.
  • To clean datasets, build interactive dashboards, and identify market trends.

Key Tasks & Responsibilities

  • Collect, clean, and consolidate data from multiple sources (ERP, Excel, CSV, text files, databases)
  • Build automated data pipelines using Power Query / Python / SQL
  • Ensure data accuracy, consistency, and completeness across systems
  • Develop advanced data models using Power Pivot and DAX
  • Perform complex calculations for: Profitability analysis, Price / margin analysis, Cost allocations & Business performance tracking
  • Support FP&A team with deep dive analysis and insights
  • Design and maintain dynamic dashboards in Power BI
  • Develop interactive reports for: Revenue / EBITDA tracking, Business unit performance and KPI monitoring
  • Automate recurring reports to reduce manual effort
  • Build and maintain Budgeting & Forecast input tools
  • Develop consolidation models including eliminations
  • Support implementation of allocation models and financial reporting frameworks

Qualifications

  • Minimum bachelor's degree in finance, Data Analytics, Engineering, or related field
  • Minimum 1–3 years of experience in FP&A analytics / BI / data analyst role

Required Skills

  • Power BI (advanced) – dashboards, visuals, measures
  • DAX (advanced) – calculations, modelling
  • Power Query / M (advanced)
  • Power Pivot / Excel (advanced)
  • Experience in handling large datasets and data transformation
  • Python (Pandas) or similar scripting language
  • SQL / database querying
  • Exposure to ERP systems (D365, SAP, etc.)
  • Understanding of data warehouse / data models

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