Procurement Data & Insights Architect

Chain Iq; Almada; Presencial; EUR 65 000 - 95 000; Tempo integral

Resumo da oferta

Chain IQ is seeking a Spend Analytics Expert to turn procurement data into actionable insights, enabling visibility, control and cost optimization for client organizations. You will consolidate spend data, cleanse and classify it, and deliver analyses that reveal savings opportunities and supplier consolidation potential.

The role requires a strong background in data analytics, 7+ years in the field, and proficiency with Excel, SQL and visualization tools.

Qualificações

• Bachelor’s degree in Business, Supply Chain, Finance, Data Science, or related field.
• MBA or advanced degree preferred with 7+ years in analytics or strategy.
• Advanced proficiency in Excel, SQL and visualization tools (Power BI, Tableau, Qlik).

Responsabilidades

• Consolidate spend data from multiple client systems into a single view.
• Lead data collection, cleansing, enrichment and classification across sources.
• Deliver analyses identifying savings, supplier consolidation and compliance improvements.
• Apply AI-enabled analytics to classify spend and enhance category visibility.
• Harmonize supplier information and support data-driven procurement decisions.

Conhecimentos

Excel

SQL

Power BI

Tableau

Qlik

Client-facing communication

Stakeholder management

Analytical thinking

Formação académica

Bachelor's degree in Business, Supply Chain, Finance, Data Science, or related field

MBA or advanced degree

Ferramentas

SAP Ariba

Coupa

Oracle

Jaggaer

Sievo

Descrição da oferta de emprego

Chain IQ is seeking a Spend Analytics Expert to turn procurement data into actionable insights, enabling visibility, control and cost optimization for client organizations. You will consolidate spend data, cleanse and classify it, and deliver analyses that reveal savings opportunities and supplier consolidation potential.

The role requires a strong background in data analytics, 7+ years in the field, and proficiency with Excel, SQL and visualization tools.