Data Analyst – Procurement & Sourcing Analytics

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Skills you'll use

Who can apply

• Design, develop, and maintain data pipelines and ETL workflows for structured and semi-structured procurement data
• Perform thorough data profiling, deduplication, normalization, and transformation to ensure data integrity across all sources
• Write complex SQL queries (joins, subqueries, window functions, CTEs, stored procedures) to extract and analyse large datasets
• Use Python (Pandas, NumPy, Matplotlib, Seaborn) for data wrangling, analysis, automation, and visualization — scripting repetitive reporting and reconciliation tasks
• Build advanced Excel models using VLOOKUP/XLOOKUP, INDEX-MATCH, pivot tables, array formulas, and VBA macros; automate transformation workflows in Power Query (M language)
• Develop interactive dashboards, KPI scorecards, and spend reports using Power BI (DAX) or Tableau
• Deliver ad-hoc analysis, variance reports, trend identification, and regular performance summaries to leadership
• 2. Procurement & Commercial Knowledge – Sourcing Concepts, Cost Drivers & Supplier Strategy
• Support sourcing teams with data and analytics throughout the sourcing lifecycle — from market analysis and supplier shortlisting through to bid evaluation and award
• Build and maintain spend analysis models, category dashboards, and supplier performance trackers

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