Data Analyst II: Power BI & Supply Chain Analytics

Ryder System, Inc.

Bismarck (ND)

Remote

USD 65,000 - 90,000

Full time

4 days ago
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Benefits offered by this job

Health benefits
401(k) plan
Paid time off
Career growth opportunities

Job summary

Ryder System, Inc. is seeking a Data Analyst II to deliver final business solutions through Power BI experiences and clear data visualizations. You will become a domain expert in supply chains, working on cutting-edge data technology within Ryder's Azure Data Lake to drive analytics initiatives.

The role involves designing critical dashboards and reports, performing ad-hoc analysis, and collaborating with Data Analysts and Scientists to exploit data for business impact.

Qualifications

  • Bachelor's degree in a relevant field; Master’s preferred.
  • Experience building BI solutions with Power BI/Tableau and cloud data environments.
  • Strong communication skills to translate technical concepts to business audiences.

Responsibilities

  • Develop dashboards by understanding business needs and convert data into usable visuals.
  • Engage stakeholders to prioritize ad-hoc requests and create innovative solutions.
  • Understand Ryder's supply chain domain and data ecosystem to drive analytics initiatives.
  • Collaborate with data professionals to advance data maturity and integration.

Skills

Power BI
Tableau
SQL
Communication skills
Agile methodologies

Education

Bachelor's degree in Supply Chain, Data Analytics or related field
Master's degree preferred in Supply Chain, Data Analytics, MBA or equivalent

Tools

Alteryx
SSIS
.NET
Azure Data Lake

Job description

Ryder System, Inc. is seeking a Data Analyst II to deliver final business solutions through Power BI experiences and clear data visualizations. You will become a domain expert in supply chains, working on cutting-edge data technology within Ryder's Azure Data Lake to drive analytics initiatives.

The role involves designing critical dashboards and reports, performing ad-hoc analysis, and collaborating with Data Analysts and Scientists to exploit data for business impact.

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