.The Data & Analytics team within Global Indirect Procurement is a high-performance, high-integrity, and high-growth organization looking for motivated and talented individuals with a passion for data, new technology, and finding solutions to tough problems. Our vision is to transform procurement performance by applying analytics to make data-driven decisions that enhance business value, based on forward-looking, accurate, and reliable intelligence. Team members will help operationalize data and make it actionable, turning insight into action. Key Responsibilities: 1. Data Mining & Predictive Analytics:Analyze large datasets related to indirect procurement invoice spend, purchase orders, suppliers, contracts, and market indices to identify patterns, correlations, and insights.Develop and apply statistical models and algorithms (e.G., regression, clustering, time-series forecasting) to interpret complex data and support decision-making with valuable insights and trends. 2. Data Governance Support and Project Management:Contribute to the organization's data governance strategy by supporting new technology implementations, ensuring the accuracy, consistency, and integrity of indirect procurement data.Collaborate with data stewards and IT teams to maintain and improve data governance practices.Lead and/or collaborate in cross-functional projects with diverse teams, providing data-driven support and ensuring alignment with business objectives, delivering high-quality results on time and within budget. 3. Insight-Driven Analytics:Prioritize creative and innovative problem-solving that aligns with and fuels business strategy, focusing on forward-thinking, actionable outcomes rather than just retrospective reporting. 4. Process Improvement and Data Pipelines & Automation:Identify opportunities for improving data management processes and implementing best practices.Utilize advanced data analysis tools and technologies (e.G., SQL, Python, R, Tableau, Power BI) to extract, manipulate, and visualize data.Focus on automating the end-to-end analytics pipeline, optimizing the flow of data from ingestion to insight generation. Design tools to accelerate time-to-insight by processing and analyzing data. 5. Storytelling with Data:Convey complex information into compelling narratives, developing and presenting well-structured, clear, and concise presentations that highlight insights and recommendations grounded in data. 6. Collaboration and Support:Work closely with Category, Strategy, Planning, Value, Compliance, and other GIP functions to understand their data needs and provide analytical support.Provide guidance and mentorship to junior data analysts, fostering a collaborative and growth-oriented environment.Foster a data-driven culture within Global Indirect Procurement, integrating business acumen with deep analytical insights. 7. Compliance and Best Practices:Ensure compliance with data privacy regulations and industry standards