Payroll and Accounting Analyst

Position Summary

This is an entry-level role on the Accounting team for someone  who is eager to learn and ready to be developed. You’ll support semi-monthly payroll processing, month-end close activities, compensation  expense analyses, and help design and automate accounting workflows using AI tools and technology. With a clear mentor and a structured ramp, you’ll build the foundation for a long-term career in accounting.  The role is hybrid with a minimum of three days in office at the LaGrange campus.

What You’ll Do

You’ll start with guidance and grow toward independence. Over time, you will:

• Support the financial close: Learn and assist with month-end close, including preparing journal entries, accrual adjustments, and account reconciliations under the guidance of senior team members.
• Assist in payroll processing: gather information and input certain data needed for semi-monthly or bi-weekly payroll processing.
• Analyze payroll expense: Track, categorize, and report on payroll-related costs; help identify trends, variances, and opportunities to improve accuracy and forecasting.
• Work with AI and technology: Help build and improve accounting workflows and system integrations—using AI tools and automation to reduce manual effort, increase accuracy, and speed up reporting.
• Assist with reporting and analysis: Pull data, build simple reports, and respond to ad hoc questions from across the business as you learn how the numbers connect to the work.
• Investigate and reconcile: Track, research, and help resolve exception-based transactions while developing your problem-solving instincts.
• Learn, document, and improve: Document the processes you learn, ask good questions, and bring fresh ideas for how we can do things better.
• Collaborate: Build relationships across the Finance team and partner with other departments to get work done.

What You Bring (Role Requirements)

• Bachelor’s degree in Accounting, Finance, Economics, Business, Data Analytics, or a related field.
• Internships, part-time work, coursework, or relevant projects are a plus but not required.
• Eagerness to learn, a growth mindset, and the coachability to take feedback and run with it.
• Curiosity about technology and AI, and excitement about using new tools to make work smarter and faster.
• Comfort with Microsoft Excel, or a clear willingness to develop strong Excel skills quickly.
• Strong attention to detail and a natural bias toward accuracy.
• Solid problem-solving and analytical instincts—you enjoy figuring out how things work.
• Good written and verbal communication skills, and a professional, collaborative approach.
• The ability to stay organized, prioritize, and manage your time in a fast-paced environment.