Senior Data & Customer Insights Analyst

Ryder System, Inc.; Austin (TX); On-site; USD 115,000 - 125,000; Full time

Job summary

Ryder System, Inc. seeks a Lead Data Analyst to drive advanced analytics, translate large data sources into actionable insights, and guide projects from concept through delivery.

You will design dashboards, leading cross-functional efforts with Marketing, Sales, IT, and other units to deliver strategic outcomes. The role emphasizes data accuracy, scalable reporting, and proactive optimization of data processes.

Qualifications

• Bachelor's Degree in Supply Chain, Data Analytics or equivalent, Required
• Master's Degree in Supply Chain, Data Analytics, MBA or equivalent, Preferred
• 6 years or more in Applied Project(s) experience: digital transformation, data management, Required
• 6 years or more in creating dashboards for diagnostic analysis across the business; cloud experience, Required
• 4 years or more in an individual contributor role as a key team member, Required

Responsibilities

• Lead the design, development, and delivery of dashboards and analytical products for executive leadership.
• Oversee scalable reporting frameworks across multiple product lines and segments.
• Conduct customer and market analyses to inform Marketing strategy and decisions.
• Establish best practices for data accuracy, integrity, and governance.
• Lead data acquisition, integration, cleaning, validation, and analysis across systems.

Skills

SQL proficiency

Python

PowerBI

R

DataBricks

Education

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

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

Tools

SQL

Python

PowerBI

R

DataBricks

Job description

Ryder System, Inc. seeks a Lead Data Analyst to drive advanced analytics, translate large data sources into actionable insights, and guide projects from concept through delivery.

You will design dashboards, leading cross-functional efforts with Marketing, Sales, IT, and other units to deliver strategic outcomes. The role emphasizes data accuracy, scalable reporting, and proactive optimization of data processes.