.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.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.- Stay updated on emerging trends and technologies in data analysis and data management.
**Education & Experience** Recommended**- 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- At least 5-7 years of experience in data analysis, preferably within Procurement /Supply Chain or a related field