Senior Data Analyst

Role Summary

Staples is seeking an Analytics Engineer to support the Asset Protection, Inventory Control & Claims teams through the development and maintenance of business intelligence, reporting, and data solutions. This role plays a critical part in helping the organization understand, monitor, and reduce cargo loss and shrink across the supply chain by transforming operational data into actionable insights.

Duties & Responsibilities

Business Intelligence & Reporting

• Develop, maintain, and enhance Tableau dashboards supporting Asset Protection operations.
• Create intuitive and actionable visualizations that enable stakeholders to monitor key performance metrics and identify trends.
• Support ad hoc reporting and analytical requests from business and technical partners.
• Validate reporting accuracy and investigate discrepancies when identified.

Data Engineering & Analytics Development

• Design and maintain SQL-based analytical datasets within Snowflake.
• Develop and support Alteryx workflows to automate data preparation, transformation, and reporting processes.
• Create and enhance data pipelines that support operational and strategic reporting initiatives.
• Collaborate with engineering and analytics teams to improve data accessibility and reporting performance.

Data Quality & Operational Support

• Monitor, troubleshoot, and resolve data quality and reporting issues.
• Assist in testing and validating new analytics solutions before deployment.
• Document business logic, data sources, workflow designs, and reporting processes.
• Recommend opportunities for process automation and reporting improvements.

Collaboration

• Work closely with senior analytics and engineering resources to deliver scalable and maintainable analytics solutions.
• Participate in project planning, requirements reviews, and solution design discussions.
• Contribute to continuous improvement initiatives across reporting and analytics platforms.

Requirements

Years of Experience

4-7 years of experience in business intelligence, analytics, data engineering, or a related field.

Basic Qualifications

• Bachelor's degree in Computer Science, Information Systems, Analytics, Engineering, Mathematics, or a related field.
• 4-7 years of experience in business intelligence, analytics, data engineering, or a related field.
• Strong SQL development experience.
• Experience working with Snowflake or comparable cloud data warehouse technologies.
• Experience developing dashboards using Tableau.
• Experience creating and maintaining Alteryx workflows.
• Understanding of data modeling, data transformation, and reporting best practices.
• Experience troubleshooting data quality and reporting issues.
• Strong analytical and problem-solving skills.
• Excellent verbal and written communication skills.
• Ability to manage multiple priorities in a fast-paced environment.

Preferred Qualifications

• Experience using Python for data analysis, automation, or workflow development.
• Experience working with e-commerce, logistics, supply chain, cargo loss, claims, fraud, risk management, or asset protection data.
• Understanding of KPI development and operational reporting.
• Experience integrating data from APIs and third-party systems.
• Familiarity with Agile delivery methodologies