Maintenance Analytics Specialist

Penske; Reading (Berks County); Hybrid; USD 70,000 - 90,000; Full time

Job summary

Penske is seeking a Maintenance Analyst for our Reading, PA corporate offices to develop and maintain statistical models for Warranty and Finance. You will query data with SQL, build reports using Excel/Tableau, and develop models in Python to drive financial insights.

Responsibilities include delivering analyses for the Warranty team, maintaining visualization tools, and communicating findings across Corporate Maintenance and Field Operations while supporting monthly close and projections.

Qualifications

• At least 3 years data analytics experience required.
• Bachelor's degree in Engineering, Mathematics, Statistics, or Data Science/Analytics preferred.
• Strong analytical and communication skills.

Responsibilities

• Build and deliver reports, models and data analysis for the Warranty team.
• Develop and maintain reporting systems and visualization toolsets to illustrate monthly trends, outliers, variances.
• Develop and maintain statistical algorithms and systems to proactively monitor financial performance.
• Communicate between Corporate Maintenance, Field Operations, and Warranty teams to articulate analytical findings and share insights.
• Advance the program by incorporating complementary systems, such as Connected Fleet.
• Pull and analyze data for Ad-Hoc requests.
• Other projects as assigned by the Manager.

Skills

Data analytics

SQL

Excel

Tableau

Python

Communication skills

Education

Bachelor's degree in Engineering, Mathematics, Statistics, or Data Science/Analytics

Tools

QlikView

Greenplum

Business Objects

Access

Job description

Penske is seeking a Maintenance Analyst for our Reading, PA corporate offices to develop and maintain statistical models for Warranty and Finance. You will query data with SQL, build reports using Excel/Tableau, and develop models in Python to drive financial insights.

Responsibilities include delivering analyses for the Warranty team, maintaining visualization tools, and communicating findings across Corporate Maintenance and Field Operations while supporting monthly close and projections.