Senior Data Analyst - Power BI & Supply Chain Insights

Ryder System, Inc.; Charleston (WV); Remote; USD 95,000 - 135,000; Full time

Benefits offered by this job

Health benefits

Paid time off

401(k) retirement plan

Job summary

Ryder System, Inc. seeks a Data Analyst III to deliver analytic solutions for the operations team via Power BI and Azure Data Lake. You will design dashboards and run queries to support strategic decisions and ad-hoc analysis across the supply chain domain.

You will collaborate with data analysts and scientists to mature data integration and analytics capabilities in a fast-paced, cloud-based environment.

Qualifications

• Bachelor's degree required in supply chain or data analytics.
• Strong experience creating dashboards and analytics in cloud environments.
• Ability to transform data into actionable business insights.
• Collaborative with analysts and data scientists across teams.
• Experience with Agile development and product-focused delivery.

Responsibilities

• Develop dashboards by interpreting business needs and turning data into visualizations to drive decisions.
• Engage the business, evaluating needs and ad-hoc requests to prioritize product efforts and create solutions.
• Enhance data maturity and integration to standardize core value-add functionality.
• Collaborate in a team; mentor junior members to achieve success.
• Challenge status quo and drive analytics innovation and new data sources.
• Know Ryder Business and supply chain data ecosystem.

Skills

Power BI

Tableau

Communication

Agile methodologies

Dashboard development

Data visualization

Education

Bachelor's Degree in Supply Chain/Data Analytics

Master's Degree in Supply Chain/Data Analytics/MBA

Tools

Alteryx

SSIS

SQL

.NET

Job description

Ryder System, Inc. seeks a Data Analyst III to deliver analytic solutions for the operations team via Power BI and Azure Data Lake. You will design dashboards and run queries to support strategic decisions and ad-hoc analysis across the supply chain domain.

You will collaborate with data analysts and scientists to mature data integration and analytics capabilities in a fast-paced, cloud-based environment.