Data Analyst II - Power BI & Supply Chain Insight

Ryder System, Inc.

Denver (CO)

Remote

USD 65,000 - 90,000

Full time

3 days ago
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Benefits offered by this job

Health benefits
401(k) retirement plan
Paid time off

Job summary

Ryder System, Inc. is seeking a Data Analyst II to deliver business solutions to the operations team through Power BI experiences.

The role focuses on shaping data into actionable visuals and becoming a domain expert in supply chains, working with Ryder's Azure Data Lake to drive analytics initiatives. You will design critical dashboards, reports and queries to support strategic decisions, perform ad-hoc analysis, and partner with data analysts and scientists to push the envelope in the big data

Qualifications

  • Bachelor's degree in Supply Chain, Data Analytics or equivalent.
  • Two (2) years or more Applied Project(s) Experience in digital transformation or data management.
  • Two (2) years or more 2-4 years' experience in creating dashboards for diagnostic analysis across the business.

Responsibilities

  • Develop dashboards by understanding business needs and translating data into usable visualizations.
  • Engage with the business to prioritize ad-hoc requests and innovate solutions.
  • Understand Ryder's supply chain domain and the role of data within this ecosystem.
  • Enhance data maturity and integration to standardize core functionality.

Skills

Power BI
Tableau
SQL
Alteryx
SSIS
.NET
Communication skills
Agile methodologies

Education

Bachelor's degree in Supply Chain / Data Analytics
Master's degree in Supply Chain / Data Analytics / MBA

Tools

Alteryx
SSIS
SQL
Azure Data Lake

Job description

Ryder System, Inc. is seeking a Data Analyst II to deliver business solutions to the operations team through Power BI experiences.

The role focuses on shaping data into actionable visuals and becoming a domain expert in supply chains, working with Ryder's Azure Data Lake to drive analytics initiatives. You will design critical dashboards, reports and queries to support strategic decisions, perform ad-hoc analysis, and partner with data analysts and scientists to push the envelope in the big data

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