Strategic Customer Insights & Data Analytics Lead

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

Job summary

Ryder System, Inc. is seeking a Lead Data Analyst to drive advanced analytics across Marketing, Sales, IT, and other business units.

You will lead complex analyses, integrate data from multiple sources, and deliver scalable dashboards and reporting solutions that translate technical findings into actionable business insights. The role requires outstanding SQL skills, programming knowledge (Python/R), and experience delivering data-driven recommendations to senior stakeholders.

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 Project experience with digital transformation and data management, Required.
• 6+ years in creating dashboards for diagnostic analysis across the business; cloud experience, Required.
• 4+ years in individual contributor role as a key team member, Required.

Responsibilities

• Lead design, development, and delivery of dashboards and analytical products for executive leadership and strategic initiatives.
• Design and oversee scalable reporting frameworks across multiple product lines and segments.
• Lead customer and market analyses to support Marketing strategy and decision making.
• Establish best practices for data accuracy, integrity, and governance, acting as data assets steward.
• Lead data acquisition, integration, cleaning, validation, and analysis across multiple systems.

Skills

SQL queries

Detail oriented

Cross-functional collaboration

Data storytelling

Time management

Education

Bachelor's Degree in Supply Chain

Master's Degree in Data Analytics

Tools

PowerBI

Python

R

DataBricks

SQL

Job description

Ryder System, Inc. is seeking a Lead Data Analyst to drive advanced analytics across Marketing, Sales, IT, and other business units.

You will lead complex analyses, integrate data from multiple sources, and deliver scalable dashboards and reporting solutions that translate technical findings into actionable business insights. The role requires outstanding SQL skills, programming knowledge (Python/R), and experience delivering data-driven recommendations to senior stakeholders.