Procurement Business Data Analyst Expert

Procurement Business Data Analyst Expert

Description -

The Procurement Data & Analytics team is a high-performance, high-integrity, and high-growth team looking for motivated and talented individuals with a passion for data, new technology, and finding solutions to tough problems.

All Procurement Data and Analytics professionals possess an innate desire to embed analytics into the Procurement organization where analytics are consistently used to derive business value. Team members will help operationalize data and make data actionable, turning insight into action.

This role is expected to:

- Develop a broad understanding of Procurement business processes, tools, data models, and analytics ecosystems to ensure end-to-end business enhancements

- Translate business requirements into scalable analytics, automation, and AI-enabled solutions.

- Support the design, enhancement, and adoption of AI-powered analytics capabilities

- Demonstrate influencing and communication skills to drive effective outcomes, including the ability to engage, advise, and influence at manager/ executive level

- Mine and analyze data for predictive, discovery, and prescriptive insights

- Identify and document data requirements to support both ongoing and ad hoc analysis

- Combine innovation with operational excellence

- Monitor data integrity

- Explore and examine data from multiple disconnected sources

1. Data Mining & Predictive Analytics:

2. Insight-Driven Analytics:

3. Process Improvement and Data Pipelines & Automation:

4. Storytelling with Data:

5. Collaboration and Support:

6. Compliance and Best Practices:

• Advanced analytics using SQL, Python, Power BI, Databricks, and related tools.
• Experience with AI-enabled analytics solutions, natural language query tools, analytics agents, semantic models, and training datasets.
• Strong understanding of data modeling, metadata management, and business rule design.
• Knowledge of data governance, responsible AI principles, and data quality practices.
• Strong communication, storytelling, stakeholder management, and influencing skills.
• A bachelor’s degree in data science, Statistics, Computer Science, Business Analytics, or a related field is required.
• A master’s degree in a relevant field (e.g., MBA with a focus on analytics, MS in Data Science or Business Analytics) is preferred and can be advantageous for advanced roles.
• Proficiency in English
• 5-7+ years of experience in data analysis, preferably within Procurement /Supply Chain or a related field.
• Experience building advanced analytics, automation, or AI-enabled analytics solutions.
• Experience working with large and complex datasets and cross-functional stakeholders.
• Industry Knowledge: Experience in a relevant industry (e.g., manufacturing, technology) can be beneficial