Data Analyst II: Power BI & Supply Chain Analytics

Ryder System, Inc.

Lincoln (NE)

Remote

USD 65,000 - 90,000

Full time

3 days ago
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Benefits offered by this job

Health benefits and 401(k)

Job summary

Ryder System, Inc. seeks a Data Analyst II to deliver final business solutions via Power BI experiences for the operations team.

You will shape data into clear visualizations, become a supply chain domain expert, and work on cutting-edge data technology within Ryder's Azure Data Lake to drive analytics initiatives. Responsibilities include building dashboards, engaging business units for prioritization, and enhancing data maturity across the organization, with collaboration across analysts and

Qualifications

  • Bachelor's degree in Supply Chain, Data Analytics or equivalent required.
  • Master's degree in Supply Chain, Data Analytics, MBA or equivalent preferred.
  • 2+ years of applied project experience in digital transformation, data management in academic/project or intern settings.
  • 2+ years or more (2-4 years) of dashboard creation experience for diagnostic analysis; cloud experience is a plus.

Responsibilities

  • Develop dashboards by understanding business needs and translating data into usable visualizations to drive decisions.
  • Engage stakeholders to prioritize ad-hoc requests and create innovative solutions.
  • Understand Ryder's supply chain domain and data ecosystem to enhance analytics.
  • Improve data maturity and integration to standardize core value-add functionality.

Skills

Power BI
Tableau
SQL
.NET
ETL tools
Azure Data Lake
Communication
Agile

Education

Bachelor's degree
Master's degree

Tools

Alteryx
SSIS

Job description

Ryder System, Inc. seeks a Data Analyst II to deliver final business solutions via Power BI experiences for the operations team.

You will shape data into clear visualizations, become a supply chain domain expert, and work on cutting-edge data technology within Ryder's Azure Data Lake to drive analytics initiatives. Responsibilities include building dashboards, engaging business units for prioritization, and enhancing data maturity across the organization, with collaboration across analysts and

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