Penske Logistics

Senior Business Intelligence Analyst

Penske Logistics$85K — $110K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field
  • Experience with large datasets and analytical techniques
  • Proficient in SQL and at least one statistical programming language (Python, R, etc.)
  • Experience in building and implementing machine learning or statistical models
  • Strong analytical, problem-solving, and communication skills
  • Familiarity with automation platforms like Power Automate

Responsibilities

  • Analyze large payroll datasets to identify trends and business opportunities
  • Develop dashboards and visualizations for actionable insights
  • Perform exploratory data analysis for workforce and compliance decisions
  • Build predictive models to enhance payroll decision-making
  • Design and test statistical and machine learning models from various data types
  • Ensure ongoing model performance and accuracy over time
  • Automate reporting and data workflows to improve operational efficiency

Benefits

  • Flexible working arrangements
  • Opportunity to work on innovative analytics projects
  • Cross-department collaboration with Payroll, HR, Finance, and IT
  • Exposure to advanced analytics and machine learning technologies
  • Potential for professional development in data science and analytics
Full Job Description
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

Qualifications

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.

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.

About Penske Logistics

Penske Logistics is a wholly owned subsidiary of Penske Truck Leasing that provides logistics services to manufacturers, retailers and distributors. The company operates in North America, South America, Europe and Asia. Penske Logistics has more than 50,000 employees and manages a fleet of more than 300,000 vehicles. The company offers a range of services, including transportation management, warehousing and distribution, lead logistics, cross-docking, and supply chain consulting. Penske Logistics has been recognized for its sustainability efforts, including being named to the EPA's SmartWay Excellence Award list.
Learn more about Penske Logistics
Size
50,000 employees
Industry
Founded
1969

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