Data Analyst III: Supply Chain Insights & Power BI

Ryder System, Inc.; Saint Paul (MN); On-site; USD 95,000 - 135,000; Full time

Job summary

Ryder System, Inc. seeks a Data Analyst III to deliver final business solutions via Power BI experiences, shaping data into actionable visuals for the operations team. You will work as a domain expert in supply chains, leveraging Ryder's Azure Data Lake to drive analytics and strategic decisions.

The role emphasizes collaboration with data analysts/scientists, building dashboards, ad-hoc analyses, and pushing the boundaries of big data with streaming data into the data lake.

Qualifications

• Bachelor's Degree in Supply Chain, Data Analytics or equivalent required.
• Master's Degree in Supply Chain, Data Analytics, MBA or equivalent preferred.
• 2+ years creating dashboards for diagnostic analysis across the business in a cloud environment.
• 2+ years in Applied Project experience demonstrating digital transformation and data management.

Responsibilities

• Develop dashboards by understanding business needs and translating data into usable visualizations.
• Engage with the business to prioritize ad-hoc requests and deliver innovative solutions.
• Enhance data maturity and integration to standardize core value‑add functionality.
• Collaborate within a team and help junior members achieve success.
• Challenge the status quo and drive entrepreneurial analytics across data sources.
• Understand Ryder's supply chain domain and how data drives the ecosystem.

Skills

Power BI

Tableau

SQL

Agile methodologies

Communication skills

Education

Bachelor's Degree in Supply Chain, Data Analytics or equivalent

Master's Degree in Supply Chain, Data Analytics, MBA or equivalent

Tools

Alteryx

SSIS

Azure Data Lake

.NET

Job description

Ryder System, Inc. seeks a Data Analyst III to deliver final business solutions via Power BI experiences, shaping data into actionable visuals for the operations team. You will work as a domain expert in supply chains, leveraging Ryder's Azure Data Lake to drive analytics and strategic decisions.

The role emphasizes collaboration with data analysts/scientists, building dashboards, ad-hoc analyses, and pushing the boundaries of big data with streaming data into the data lake.