Service Supply Chain, Business Intelligence Analyst
- Partner with stakeholders across the Service Parts Organization to understand business needs and deliver analytics solutions.
- Define and develop key performance indicators (KPIs) – from requirements gathering to data sourcing and visualization.
- Design and maintain interactive dashboards and reports in SAP Analytics Cloud (SAC), Tableau, and Salesforce.
- Track and analyze key service supply chain KPIs such as part availability, inventory turns, service fill rates, backorder levels, and lead times.
- Map out data and process flow to drive operational efficiencies and improve decision-making.
- Ensure the quality, integrity, and reliability of business data across systems.
- Build and maintain ad-hoc reports and dashboards by extracting data from SAP Datasphere and Salesforce using automated scripts.
- Present analytical findings and insights clearly to non-technical stakeholders, highlighting business impact.
- Share best practices with fellow analysts, including code reviews, documentation, and data governance.
- 3+ years of experience as a Business Intelligence Analyst or Data Analyst, ideally in an operations or supply chain environment.
- Bachelor’s degree in Business Analytics, Data Science, Mathematics or related field required.
- Advanced proficiency in SQL, SAP Datasphere, SAP Analytics Cloud (SAC) and Analytical Models, and Salesforce required.
- Experience with Python (or similar tools) for data extraction, ETL development, and custom analysis.
- Experience in integrating multiple data sources (SAC, Salesforce Service Cloud, logistics platforms) to provide a single source of truth for operations and leadership.
- Familiarity with collaboration and version control tools (e.g., Git, JIRA).
- Strong storytelling abilities using data; able to work independently in fast-paced, ambiguous environments.
- Excellent written and verbal communication skills.
- Experience in supply chain optimization projects such as parts lifecycle management, inventory optimization, and service parts digitalization.
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