Senior Customer Insights & Analytics Lead

Ryder System, Inc.; Saint Paul (MN); On-site; USD 115,000 - 125,000; Full time

Job summary

Ryder System, Inc. seeks an experienced Lead Data Analyst to guide complex analytical initiatives across Marketing and the business. This role designs and executes analyses, integrates data from multiple sources, and develops scalable reporting tools while translating findings into business recommendations.

The candidate will manage data quality, governance, and data assets, while coordinating with Marketing, Sales, IT, and other units to deliver actionable insights and outcomes.

Qualifications

• Bachelor's degree in Data Analytics, Supply Chain, or equivalent is required.
• Master's degree preferred (Supply Chain, Data Analytics, MBA or equivalent).
• 6+ years in applied projects, demonstrating digital transformation and data management.
• 6+ years creating dashboards for diagnostic analysis across the business; cloud experience preferred.
• 4+ years as an individual contributor within a team.

Responsibilities

• Lead design, development, and delivery of dashboards, reporting solutions, and analytical products for executive leadership.
• Develop scalable reporting frameworks across product lines and business segments.
• Lead customer and market analyses (sizing, share, growth, segmentation) to support marketing strategy.
• Establish best practices for data accuracy, integrity, audits, and data assets stewardship.
• Manage data acquisition, integration, cleaning, validation, and analysis across systems.

Skills

SQL

Data analysis

Python

PowerBI

R

Databricks

Communication

Education

Bachelor's degree in Data Analytics or related

Master's degree preferred

6+ years in Applied Projects

6+ years dashboards for diagnostic analysis

4+ years individual contributor

Tools

SQL

Python

PowerBI

R

Databricks

Job description

Ryder System, Inc. seeks an experienced Lead Data Analyst to guide complex analytical initiatives across Marketing and the business. This role designs and executes analyses, integrates data from multiple sources, and develops scalable reporting tools while translating findings into business recommendations.

The candidate will manage data quality, governance, and data assets, while coordinating with Marketing, Sales, IT, and other units to deliver actionable insights and outcomes.