Senior Payroll Analytics & Automation Lead

Penske; Reading (Berks County); On-site; USD 90,000 - 120,000; Full time

Job summary

Penske in Reading, PA seeks a Payroll Business Intelligence Analyst to transform payroll data into actionable insights, build predictive models, and enhance accuracy, compliance, and transparency across the workforce.

You will partner with Payroll, HR, Finance and IT to develop scalable analytics, data pipelines, and automation that elevate payroll from a transactional function to a data-driven capability.

Key skills include SQL, Python, and R for analytics, dashboards, and ML models.

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

Skills

SQL

Python

R

Data analysis

Tools

SQL

Python

R

Job description

Penske in Reading, PA seeks a Payroll Business Intelligence Analyst to transform payroll data into actionable insights, build predictive models, and enhance accuracy, compliance, and transparency across the workforce.

You will partner with Payroll, HR, Finance and IT to develop scalable analytics, data pipelines, and automation that elevate payroll from a transactional function to a data-driven capability.

Key skills include SQL, Python, and R for analytics, dashboards, and ML models.