Senior Data Analyst, Supply Chain & Power BI Dashboards

Ryder System, Inc.; Harrisburg (Dauphin County); On-site; USD 95,000 - 135,000; Full time

Job summary

Ryder System, Inc. is seeking a Data Analyst III to deliver final business solutions for the operations team through Power BI experiences. You will shape data into crisp designs and drive strategic decisions within Ryder's Azure Data Lake, specializing in supply chain analytics.

This role requires expertise in dashboards, ad-hoc analysis, and collaboration with data scientists and analysts to push analytics beyond reporting toward actionable insights.

Qualifications

• Bachelor's Degree in Supply Chain, Data Analytics or equivalent.
• Master's Degree in Supply Chain, Data Analytics, MBA or equivalent.
• 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.
• 4+ years in an individual contributor role as a key team member.

Responsibilities

• Develop dashboards by understanding business needs and translate data into usable visuals.
• Engage with the business to prioritize ad-hoc requests and create innovative solutions.
• Enhance data maturity and integration to standardize core functionality.
• Mentor junior team members to achieve success.
• Guide entrepreneurial innovation in analytical products and data sources.

Skills

Analytical thinking

Communication skills

Team collaboration

Problem solving

Education

Bachelor's degree in Supply Chain or Data Analytics

Master's degree in Supply Chain or Data Analytics or MBA

Tools

Power BI

Tableau

ETL tools (Alteryx or SSIS)

SQL

.NET stack

Job description

Ryder System, Inc. is seeking a Data Analyst III to deliver final business solutions for the operations team through Power BI experiences. You will shape data into crisp designs and drive strategic decisions within Ryder's Azure Data Lake, specializing in supply chain analytics.

This role requires expertise in dashboards, ad-hoc analysis, and collaboration with data scientists and analysts to push analytics beyond reporting toward actionable insights.