Excel data specialist payroll and benefits

Описание:
We’re looking for a detail-oriented and analytical Excel Data Specialist to support data processing, validation, and compliance reporting operations. This role is ideal for someone who enjoys working with large datasets, identifying discrepancies, solving problems, and ensuring data accuracy. You’ll work with payroll, benefits, and employee data, using Excel and other tools to support reporting processes, troubleshoot data issues, and maintain high-quality information.

• Review, analyze, and validate data from spreadsheets, databases, and internal systems
• Process payroll, benefits, and employee data to ensure accuracy and completeness
• Identify and resolve discrepancies, missing records, duplicates, and file errors
• Troubleshoot data imports and processing issues
• Organize and maintain structured, accurate datasets
• Support monthly and year-end compliance reporting
• Collaborate with internal teams to investigate and resolve data-related issues
• Perform data quality checks and support process improvements
• Support data processing and reporting tasks

• Strong Excel skills, including VLOOKUP, data validation, data cleanup, and working with large datasets
• 3–5 years of professional experience involving Excel, data processing, reporting, or similar work
• Fluent English communication skills — B2 level or higher, both written and verbal
• Strong analytical, mathematical, and problem-solving skills
• Excellent attention to detail and accuracy
• Ability to identify inconsistencies and troubleshoot data issues
• Strong organizational and time-management skills
• Ability to manage multiple tasks and meet deadlines
• Ability to work independently and take ownership of tasks
• Proactive mindset and willingness to learn

• 100% remote cooperation
• International work environment
• Opportunity to work with US-based business processes and data systems
• Hands‑on experience with data analytics and compliance reporting
• Professional development and opportunities to improve your analytical skills
• Collaboration with experienced data professionals