Associate Analyst - Payroll Operations (Hybrid)

About the Job

Core Accountabilities/Key Responsibilities

• Prepare, document, and support the disbursement of payroll payments, payroll taxes, and employee benefit payments while maintaining accurate records.
• Monitor payroll activities and employee benefit transactions to ensure proper documentation, compliance, and financial accuracy.
• Evaluate existing payroll processes and systems, identify opportunities for improvement, and support implementation of operational efficiencies.
• Assist with payroll data cleanup, validation, and maintenance activities to ensure data consistency, completeness, and integrity.
• Perform analysis of payroll processes, identify trends or issues, and proactively recommend solutions to improve operational performance.
• Prepare payroll expenditure reports and summaries related to compensation, tax payments, benefits, and related payroll activities.
• Support reconciliations, reporting activities, and information requests by analyzing payroll data and validating results.
• Collaborate with internal teams, vendors, and stakeholders to resolve payroll-related issues and support ongoing process improvements.
• Please note: This role is based in Houston with an in-office requirement of 2-3 days per week.

What’s needed to succeed (Minimum Qualifications):

• High School diploma or equivalent
• Proficiency with Workday and Microsoft Office products, particularly Excel, including data analysis functions
• Strong analytical, problem-solving, organizational, and communication skills
• Demonstrated ability to manage multiple priorities while maintaining attention to detail

What will help you propel from the pack (Preferred Qualifications):

• 2-3 years of payroll experience
• Experience with data quality management and process standardization
• Exposure to process automation and data visualization tools
• Experience supporting vendor management activities
• Familiarity with payroll systems, payroll reporting, and regulatory compliance processes
• Demonstrates an understanding of the capabilities and limitations of generative AI tools and effectively leverages them for research, analysis, content creation, and problem-solving.
• Applies critical thinking to validate AI-generated outputs while adhering to company policies related to responsible AI use, data privacy, and security.