Data Analyst III: BI Dashboards & Supply Chain Insights

Ryder System, Inc.; Lincoln (NE); On-site; USD 95,000 - 135,000; Full time

Job summary

Ryder System, Inc. seeks a Data Analyst III to deliver final business solutions for the operations team using Power BI and an advanced Azure Data Lake environment. You will craft analytical dashboards and drive strategic decisions with descriptive and prescriptive insights.

Ideal candidates bring 2+ years creating dashboards in cloud settings, with strong SQL, ETL tooling, and collaboration across analysts and scientists to push data-driven innovation in supply chains.

Qualifications

• Bachelor's Degree in Supply Chain, Data Analytics or equivalent.
• 2+ years of experience creating dashboards for diagnostic analysis across the business; experience in a cloud environment.
• 2+ years of applied project experience in digital transformation and data management.
• 4+ years in an individual contributor role as a core team member.

Responsibilities

• Develop dashboards by understanding business needs and translate data into usable visualizations to drive decisions.
• Engage with business stakeholders to prioritize ad-hoc requests and deliver innovative solutions.
• Enhance data maturity and integration to standardize core functionality.
• Collaborate with data analysts and scientists to expand analytical products and data sources.

Skills

Power BI

Tableau

ETL tools

SQL

.NET

Communication

Agile methodologies

Education

Bachelor's degree in Data Analytics or related field

Master's degree in Data Analytics, MBA or equivalent

Tools

Alteryx

SSIS

Job description

Ryder System, Inc. seeks a Data Analyst III to deliver final business solutions for the operations team using Power BI and an advanced Azure Data Lake environment. You will craft analytical dashboards and drive strategic decisions with descriptive and prescriptive insights.

Ideal candidates bring 2+ years creating dashboards in cloud settings, with strong SQL, ETL tooling, and collaboration across analysts and scientists to push data-driven innovation in supply chains.