Automation & Data Excellence Analyst

Penske

Reading (Berks County)

On-site

USD 65,000 - 95,000

Full time

14 days+
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Job summary

Penske is seeking an Operational Excellence Analyst in Reading, PA. The role supports the Operational Excellence department with data organization, analysis, and documentation to drive process improvements.

You will develop dashboards, perform time studies, and map current processes to identify waste and automation opportunities. Ideal candidates bring a strong data analysis background, excellent communication, and the ability to multi-task across projects.

Qualifications

  • Bachelor's Degree required; concentration in relevant field.
  • Degree in Industrial Engineering, Engineering (other), Statistics or Business Analytics preferred.
  • Master's degree preferred.
  • Six Sigma Green Belt/Black Belt Lean certifications preferred.
  • 2+ years in a technical data/process role; coop/internship OK.
  • 2+ years in Industrial Engineering or equivalent; coop/internship OK.
  • Intermediate Statistical Analysis or Process Automation experience.
  • Introductory Project Management/Time Studies/Process Mapping experience.
  • Introductory Minitab experience.

Responsibilities

  • Automate data retrieval and create/maintain dashboards.
  • Analyze data using traditional and new approaches.
  • Develop as-is process maps and identify waste.

Skills

Data analysis
Communication skills
Organized / multi-task
Problem solving
Time management
Time studies

Education

Bachelor's Degree
Industrial Engineering
Engineering (other)
Statistics
Business Analytics
Master's Degree
Six Sigma (Green/Black Belt)

Tools

Minitab

Job description

Penske is seeking an Operational Excellence Analyst in Reading, PA. The role supports the Operational Excellence department with data organization, analysis, and documentation to drive process improvements.

You will develop dashboards, perform time studies, and map current processes to identify waste and automation opportunities. Ideal candidates bring a strong data analysis background, excellent communication, and the ability to multi-task across projects.

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