Payroll Analytics & ML Insight Lead

Lehighbar; Reading (Berks County); On-site; USD 85,000 - 120,000; Full time

Job summary

Penske Truck Leasing Co., L.P. in Reading, PA is seeking a Payroll Business Intelligence Analyst to turn payroll data into actionable insights and predictive solutions. You will partner with Payroll, HR, Finance and IT to elevate payroll to a data-driven business capability.

The role requires strong SQL and Python/R skills, experience with large datasets, and the ability to develop dashboards, models, and automated data workflows. Collaboration and problem-solving are essential to success.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
• Experience with large datasets and applying analytical techniques.
• Strong SQL and at least one statistical language (Python or R).
• Experience building and deploying ML or statistical models.
• Excellent analytical, problem-solving, and communication skills.
• Experience with automation platforms (Power Automate).

Responsibilities

• Analyze large-scale payroll datasets to identify trends, anomalies, and opportunities.
• Develop dashboards and visualizations for stakeholders.
• Build and test predictive models to improve payroll decisions.
• Develop data pipelines and governance for payroll datasets.
• Automate reporting and data workflows to reduce manual effort.

Skills

Data analysis

SQL

Python

R

Machine Learning

Communication

Automation

Education

Bachelor's or Master's in Data Science/Statistics/CS

Tools

Python

R

Power Automate

Job description

Penske Truck Leasing Co., L.P. in Reading, PA is seeking a Payroll Business Intelligence Analyst to turn payroll data into actionable insights and predictive solutions. You will partner with Payroll, HR, Finance and IT to elevate payroll to a data-driven business capability.

The role requires strong SQL and Python/R skills, experience with large datasets, and the ability to develop dashboards, models, and automated data workflows. Collaboration and problem-solving are essential to success.