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.

• Bachelors 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