Senior Manager, Global Payroll
Groq- Full Time
- Senior (5 to 8 years)
The Senior Payroll Analyst should possess at least 3 years of full-cycle US multi-state and Canada payroll experience, with bonus points for global payroll experience, particularly in EMEA or through Global PEO experience. They must have 3+ years of experience with ADP Workforce Now and experience using Workday Payroll, HRIS, and Benefit modules, along with familiarity with foreign currencies and exchange rates.
As the Senior Payroll Analyst, the individual will prepare and process end-to-end multi-state payroll for approximately 600 employees in both the U.S. and Canada using ADP WorkForceNow (semi-monthly), ensure compliance with multi-state payroll tax laws, process incoming tax notices and amendments, assist in the preparation of global payroll processing using Ernst & Young Global Payroll Operate (monthly), process commissions, bonuses, and stock equity transactions, partner cross-functionally with HR, Finance, and Legal to optimize payroll processes, support system implementations and upgrades, ensure adherence to Sarbanes-Oxley Act (SOX) controls, provide timely responses to inquiries, and create and analyze data using Excel formulas and pivot tables.
Data observability solutions for tech businesses
Cribl operates in the data observability market, helping tech businesses monitor, analyze, and visualize their data for better operational and security insights. The company offers two main products: Cribl Stream and Cribl Edge. Cribl Stream enables businesses to efficiently route and transform logs and metrics, either on their own infrastructure or through cloud services, ensuring timely data delivery. Cribl Edge focuses on collecting and processing real-time observability data from edge devices, which can then be sent to Cribl Stream or other destinations. Cribl distinguishes itself by integrating seamlessly with platforms like Office 365 and Microsoft Azure, allowing clients to enhance their data management capabilities. The company's goal is to create effective data ecosystems that empower organizations to make sense of their data.