The Role
Lead payroll analytics by analyzing large payroll datasets, building dashboards and visualizations, developing predictive/statistical models, creating data pipelines and automation, ensuring data quality and model performance, and partnering with Payroll, HR, Finance, and IT to drive data-driven payroll decisions.
Summary Generated by Built In
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.
Skills Required
- 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
- Experience with Power Automate or another automation platform
- Strong analytical, problem-solving, and communication skills
- Successful completion of background investigation and drug screening
- Regular, predictable, full attendance
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The Company
What We Do
Penske Truck Leasing is a leading global transportation services provider, offering truck leasing, rental, and logistics solutions with a fleet of over 400,000 vehicles. The company provides full-service truck leasing, contract maintenance, and comprehensive logistics solutions through its subsidiary, Penske Logistics. It is also shaping the future of mobility by investing in electric vehicles and advanced fleet safety systems.
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