Senior Data Analyst

• Lead the acquisition, analysis, and visualization of complex datasets to support informed decisions on pricing strategies, product performance, customer behavior, and market opportunities
• Develop, maintain, and enhance executive-level reporting for supply chain, backlog of sales orders, purchase orders, supplier lead times and performance, inventory management, and key business metrics
• Investigate reporting discrepancies by partnering with global business users to identify root causes and improve data accuracy
• Drive continuous improvement of self-service analytics tools used across the organization
• Design and maintain scalable data models and datasets that provide business users with reliable, easy-to-use insights
• Evaluate and implement modern AI-powered capabilities that improve data quality, searchability, and the overall analytics user experience
• Extract, transform, and analyze large datasets from transactional databases to identify trends and deliver actionable business recommendations
• Partner with business teams to identify and resolve data quality issues through process improvements, documentation, and user training
• Define analytical and data requirements for cross-functional initiatives involving data engineering, product teams, and global stakeholders
• Mentor junior analysts by providing guidance on analytical methodologies, reporting standards, and best practices
• Collaborate closely with product management, sales, engineering, operations, and other business functions to ensure analytics align with strategic objectives
• Communicate complex data processes, methodologies, and business insights in a clear, concise manner for technical and non-technical audiences
• Lead and support continuous improvement initiatives that enhance operational performance and business decision-making
   

You step up to handle tough issues. You carefully consider all relevant factors and use appropriate decision-making criteria and principles. You understand that different situations may call for different approaches. You partner with others to get work done.
 

• Bachelor's degree in Information Systems, Systems Engineering, Data Management, Data Analytics, Computer Science, Mathematics, Software Engineering, Statistics, Accounting, Finance, or a related field
• Five (5) or more years of experience in data analytics, business intelligence, or related analytical roles
• Strong SQL experience working with large, complex datasets
• Proficiency with Microsoft Excel, Power BI, and Microsoft Fabric
• Knowledge of data engineering workflows, ETL processes, or modern data architecture
• Demonstrated ability to transform raw data into meaningful insights and actionable business recommendations
• Experience collaborating with cross-functional teams and supporting global stakeholders
• Excellent communication, presentation, and data storytelling skills
• Strong analytical, organizational, and problem-solving abilities with the ability to manage multiple priorities
• Self-starter with a continuous improvement mindset