Senior Business Data Analyst – Global Indirect Procurement

Senior Business Data Analyst – Global Indirect Procurement

Description -

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.
•    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.
•    Proven experience working with large datasets and complex data analysis tools.
•    Industry Knowledge: Experience in a relevant industry (e.g., manufacturing, technology) can be beneficial
 

Preferred Certifications
- Certified Analytics Professional (CAP): Preferred to validate advanced analytical skills and expertise.
   - Microsoft Certified: Data Analyst Associate: Preferred to demonstrate proficiency with data visualization tools.
   - SQL Certification: Preferred to validate expertise in SQL for data querying and manipulation.

Knowledge & Skills
1.    Data Visualization: Expertise in creating dashboards and reports using tools such as Power BI or Tableau, from identifying customer needs to production and maintenance.
2.    Data Engineering: Proficiency in ETL processes (Extract, Transform, Load) and data warehousing methodologies. Skilled in developing and writing SQL queries and Python scripts to retrieve data from APIs.
3.    Data Analysis Too