Senior Customer Insights & Data Analytics Lead

Ryder System, Inc.; Olympia (WA); On-site; USD 110,000 - 160,000; Full time

Job summary

Ryder System, Inc. seeks an experienced Lead Data Analyst to guide complex analytics for the Marketing team and broader business.

You will design, deliver, and scale dashboards, reports, and analytical products, translating data into actionable business insights for leadership. You'll lead cross-functional workstreams with Marketing, Sales, IT, and other units, establish data quality practices, manage data from multiple systems, and drive timely delivery of key outputs while shaping analytics

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 in Applied Projects including digital transformation and data management.
• 6+ years creating dashboards for diagnostic analysis across the business; cloud experience.
• 4+ years as an individual contributor in a key team role.

Responsibilities

• Lead design, development, and delivery of dashboards, reporting solutions, and analytic products for executive leadership.
• Design, enhance, and oversee scalable reporting frameworks across multiple product lines.
• Lead comprehensive customer and market analyses to support Marketing strategy and decision making.
• Establish and reinforce best practices for data accuracy and integrity across datasets.
• Lead data acquisition, integration, cleaning, validation, and analysis across systems.

Skills

SQL

Python

PowerBI

R

Data visualization

Analytical thinking

Education

Bachelor's in Data Analytics or equivalent

Master's degree preferred

Tools

DataBricks

Job description

Ryder System, Inc. seeks an experienced Lead Data Analyst to guide complex analytics for the Marketing team and broader business.

You will design, deliver, and scale dashboards, reports, and analytical products, translating data into actionable business insights for leadership. You'll lead cross-functional workstreams with Marketing, Sales, IT, and other units, establish data quality practices, manage data from multiple systems, and drive timely delivery of key outputs while shaping analytics