Procurement Spend Analytics Expert

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

Are you passionate about turning complex data into strategic business value? As a Spend Analytics Expert, you will help leading organizations gain visibility, control, and actionable insights from their procurement spend. You will transform fragmented procurement data into a trusted foundation for decision-making, identify opportunities for cost optimization, and enable more effective sourcing and supplier management strategies. Additionally, you will play a key role in helping clients unlock measurable value from their procurement operations. Key responsibilities

Client Engagement & Delivery

Act as a trusted advisor to clients, helping them gain visibility and control over their procurement spend. Consolidate spend data from multiple client systems into a single, trusted view of procurement activity. Lead spend data collection, cleansing, enrichment, and classification activities across diverse data sources. Partner with clients as a trusted advisor to design, implement spend cube integrations, ensuring high-quality spend data Deliver actionable analyses that identify savings opportunities, supplier consolidation potential, and compliance improvements.

Apply AI-enabled tools and analytics to accelerate spend classification and improve category visibility.

Harmonize supplier information across different systems to create a consistent and reliable supplier baseline. Improve the quality, consistency, and completeness of procurement data to support better business decisions. Continuously enhance classification accuracy and insight generation through data-driven approaches and best practices.

Strategic Insights & Solution Design

Transform complex procurement data into clear business insights and sourcing recommendations. Support category strategies, opportunity assessments, supplier negotiations, and cost optimization initiatives. Identify spend patterns, supplier concentration risks, and value creation opportunities across client organizations. Help clients establish a trusted procurement data foundation that enables fact-based decision-making.

Requirements

• Bachelor's degree in Business, Supply Chain, Finance, Data Science, or a related field;
• MBA or advanced degree preferred. 7+ years of professional experience in data analytics, management consulting, or operations strategy. Advanced proficiency in Excel, SQL, and visualization tools such as Power BI, Tableau, Qlik etc. Ability to translate complex data into simple, strategic business insights. Experience working with large datasets;
• proficiency in data cleansing, classification, and transformation Familiarity with procurement concepts is advantageous but not required. Excellent client-facing communication and stakeholder management skills. Analytical mindset with the ability to work across multiple industries and procurement categories.

Desired experience

Experience with spend analytics, spend classification, supplier harmonization, and procurement data management. Familiarity with AI-enabled procurement solutions and modern analytics platforms. Knowledge of procurement taxonomies such as UNSPSC and category management frameworks. Understanding of procurement systems such as SAP Ariba, Coupa, Oracle, Jaggaer, or Sievo.