Job Description:
Position Summary:
The Payroll Business Intelligence Analyst is responsible for leveraging advanced analytics, statistical modeling, and machine learning to enhance payroll operations, improve data accuracy, and drive strategic decision-making. This role transforms payroll data into actionable insights and builds predictive solutions that improve efficiency, compliance, and workforce transparency.
This position partners across Payroll, HR, Finance, and IT to develop scalable analytics and automation solutions that elevate payroll from a transactional function to a data-driven business capability
Key Responsibilities:
Data Analysis & Insights
- Analyze large-scale payroll datasets to identify trends, anomalies, and business opportunities
- Develop dashboards and visualizations to provide actionable insights to stakeholders
- Perform exploratory data analysis to support workforce, cost, and compliance decision
- Build predictive models (e.g., forecasting, classification, clustering) to improve payroll decision-making
- Design and test statistical and machine learning models using structured and unstructured data
- Ensure ongoing model performance, accuracy, and relevance over time
- Identify, extract, cleanse, and integrate data from payroll and enterprise systems
- Develop data pipelines and transformation processes to support analytics and modeling
- Ensure data quality, consistency, and governance across payroll datasets
- Develop analytical and automation solutions using SQL, Python, R, or similar tools
- Build reusable data assets, scripts, and models to support ongoing analytics needs
- Automate reporting and data workflows to reduce manual effort
Required Qualifications:
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field
- Experience working with large datasets and applying analytical techniques
- Strong programming skills in SQL and at least one statistical language (Python, R, etc.)
- Experience building and implementing machine learning or statistical models
- Strong analytical, problem-solving, and communication skills
- Experience with power automate or another automation platform
- Regular, predictable, full attendance is an essential function of the job.
- Successful candidate must complete Penske employment application, submit to a background investigation (past employment, education, and criminal history), and complete a drug screening.
Physical Requirements:
The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines.
- While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg.
- Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus.
Penske is an Equal Opportunity Employer
About Penske Truck Leasing/Transportation Solutions
Penske Truck Leasing/Transportation Solutions is a premier global transportation provider that delivers essential and innovative transportation, logistics and technology services to help companies and people move forward. With headquarters in Reading, PA, Penske and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more.
Job Category: Finance/Accounting
Job Family: Common
Address: 100 Gundy Drive
Primary Location: US-PA-Reading
Employer: Penske Truck Leasing Co., L.P.
Req ID: 2608263
Data Analyst • Reading, PA, US
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