SR BUSINESS INTELLIGENCE ANALYST

Job Responsibilities

• Collect, analyze, and visualize supply chain performance data (inventory turns, delivery performance, lead times, capacity utilization, material availability, etc.) to support operational and strategic decisions
• Partner with Supply Chain, Operations, and IT teams to translate business needs into data models and metrics that measure process health and efficiency
• Develop and maintain self-service dashboards and KPIs that enable users to monitor key performance indicators
• Perform data validation, reconciliation, and root-cause analysis for discrepancies in system reports, ensuring accuracy across ERP and BI tools
• Create and maintain data pipelines and queries (e.g., via SQL, Power Query, or SAP extractors) to automate recurring reports and reduce manual effort
• Support data quality initiatives by identifying errors, proposing corrective actions, and coordinating with data owners to improve master data governance
• Provide ad-hoc analysis and scenario modeling to evaluate changes in demand, supply, or logistics assumptions
• Assist in process documentation and help standardize analytic procedures, data definitions, and reporting templates
• Collaborate on continuous improvement initiatives, using data to identify bottlenecks and recommend automation or process optimization opportunities
• Participate in testing and validation of system updates or new data tools to ensure alignment with reporting and analytics needs

Job Requirements

• 3-5 years of experience in data analysis, business intelligence, or ERP-driven supply chain processes (planning, procurement, logistics, or manufacturing).
• Hands-on experience with data visualization tools (Power BI or Tableau) and data transformation tools (Power Query, Alteryx, or Python for analytics).
• Working knowledge of ERP reporting and data structures, preferably in SAP
• Ability to extract and interpret data using SQL, Excel (PowerPivot, PowerQuery), or similar tools.
• Understanding of supply chain metrics (inventory accuracy, on-time delivery, demand forecast accuracy, supplier performance, etc.) and how to measure them.
• Familiarity with data governance principles, master data management, and reporting hierarchies.
• Strong analytical and critical thinking skills — capable of turning data into clear, actionable insights.
• Detail-oriented, organized, and comfortable managing multiple priorities.
• Clear communicator able to present findings to both technical and business stakeholders.
• Values: Integrity, Accountability, Teamwork, Innovation, Inclusion

Competencies