Data Conversion Specialist - SQL/Excel Pro (Onsite)

Paylocit; Schaumburg (IL); On-site; USD 50,000 - 60,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) match

Career development

Job summary

Paylocity in Schaumburg, IL seeks a Data Conversion Specialist. This 100% in-office role requires SQL and advanced MS Excel skills to support payroll data conversions for client implementations.

You will work with Implementation Consultants to convert and map data, ensure data quality, and help load client data into Web Pay. Bachelor’s degree and 3–5 years payroll data experience preferred.

Qualifications

• Bachelor’s degree required.
• 3-5 years’ experience working with payroll data preferred.
• Strong attention to detail and analytical skills.
• Proficient in MS Excel and SQL data handling.

Responsibilities

• Respond to internal and external requests during implementation.
• Coordinate data extraction with clients.
• Convert time clocks, history, and data extractions for Web Pay.
• Research issues using SQL Server and Paylocity tools.
• Review client data for accuracy prior to upload.
• Ensure previous provider data is formatted for conversion.
• Define and map data rules for conversions.
• Assist in data cleanup as needed.
• Collaborate with Implementation Consultants and team.

Skills

SQL

MS Excel

Data conversion

Data extraction

Attention to detail

Communication

Analytical thinking

Team collaboration

Project management

Payroll data

Experience with payroll systems

Education

Bachelor’s degree

Tools

SQL Server

MS Access

MS Office

Job description

Paylocity in Schaumburg, IL seeks a Data Conversion Specialist. This 100% in-office role requires SQL and advanced MS Excel skills to support payroll data conversions for client implementations.

You will work with Implementation Consultants to convert and map data, ensure data quality, and help load client data into Web Pay. Bachelor’s degree and 3–5 years payroll data experience preferred.