Global Operations Data Analytics

Key Responsibilities

• Own the data integrity, accuracy, and timeliness of the Global Operations Scorecard across all metric categories.
• Drive data governance standards including master data management, data dictionary maintenance, and regional data quality audits.
• Develop and maintain comprehensive dashboards (Power BI) providing insights into operational performance against 2025–2027 targets.
• Collaborate with Offering Management, Sales Operations, Engineering, Manufacturing, Finance, and Procurement to compile reporting that supports key global decisions.
• Perform data analysis: collect, analyze, and interpret data from various sources to identify trends, patterns, and opportunities for improvement in global operations.
• Evaluate existing business processes and recommend data-driven enhancements to improve efficiency, reduce costs, and increase productivity.
• Own the construction, maintenance, and governance of global operations data files and reporting infrastructure.
• Coordinate with IT on data integration across multiple ERP systems (Oracle) to drive integrated business planning.
• Support AI/ML pilot initiatives to enhance data accuracy, scenario modeling, and predictive analytics.
• Create an environment of continuous improvement with emphasis on personal ownership and data quality culture.

Qualifications

• Bachelor's Degree in Computer Science, Engineering, Data Science, Supply Chain Management, or related technical field.
• Minimum 5 years' experience building data management, analytics, and reporting solutions — preferably in Supply Chain, Manufacturing Operations, Sales Operations, or Strategic Sourcing.
• SQL proficiency (intermediate to advanced) for sourcing and transforming data from enterprise databases.
• Microsoft Power BI expertise — building dashboards, data models, DAX measures, and Power Query transformations.
• Working knowledge of Oracle ERP (order processing, inventory management, material planning modules).
• Strong communication skills with ability to translate complex data into executive-ready insights.
• Able to collaborate cross-functionally and cross-culturally across a global matrixed organization.
• Self-directed with ability to manage multiple priorities and meet tight deadlines independently.
• Familiarity with AI analytics.
• Experience with Smartsheet for project tracking and collaboration.