Data Analyst III: Supply Chain BI & Dashboards

Ryder System, Inc.; Oklahoma City (OK); On-site; USD 95,000 - 135,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Paid time off

Job summary

Ryder System, Inc. is seeking a Data Analyst III to deliver business solutions through Power BI experiences and analytics on Ryder's Azure Data Lake. You will design dashboards and reports that translate complex supply chain data into actionable insights for internal teams and external customers.

You will collaborate with data analysts and scientists, mentor junior staff, and push the envelope on streaming data and sandbox experimentation to advance our analytics initiatives.

Qualifications

• Develop dashboards by understanding business needs and translating into visualizations.
• Engage the business to prioritize ad-hoc requests and drive innovation.
• Advance data maturity and integration to standardize core functionality.
• Collaborate in a team and mentor junior members to achieve success.
• Challenge the status quo and drive analytics innovation across data sources.
• Understand Ryder's supply chain domain and data ecosystem.

Responsibilities

• Performs other duties as assigned.
• Collaborate with data analysts/scientists to explore data and analytics opportunities.
• Support Ryder analytics initiatives for internal teams and customers.

Skills

Power BI

Tableau

SQL

ETL tools

Alteryx

SSIS

.NET

Agile methodologies

Communication

Education

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

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

Tools

Azure Data Lake

Power BI

Tableau

SSIS

Alteryx

.NET

Job description

Ryder System, Inc. is seeking a Data Analyst III to deliver business solutions through Power BI experiences and analytics on Ryder's Azure Data Lake. You will design dashboards and reports that translate complex supply chain data into actionable insights for internal teams and external customers.

You will collaborate with data analysts and scientists, mentor junior staff, and push the envelope on streaming data and sandbox experimentation to advance our analytics initiatives.