Payroll Data Analyst — Hybrid

Norfolk Southern Corporation

Atlanta (GA)

Hybrid

USD 65,000 - 90,000

Full time

8 days ago
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Job summary

Norfolk Southern Corporation is seeking a Payroll Business Analyst to support reporting, data analysis, account reconciliations, and process improvements within a hybrid work environment in Atlanta, GA. You will partner with Accounting, IT, and other departments to streamline payroll operations and ensure accuracy.

Ideal candidates have a Bachelor’s Degree and 1–2 years of experience (3–5 preferred), with strong MS Excel and data query skills.

Qualifications

  • Bachelor’s Degree preferred or equivalent experience.
  • Minimum 1–2 years; 3–5 years preferred in payroll/accounting.
  • Experience with payroll data, reporting, and reconciliations is a plus.

Responsibilities

  • Coordinates the design and manages the implementation of new systems or business processes.
  • Liaises between Accounting, IT and other client departments.
  • Reviews day-to-day payroll records, GL reporting, analysis and reconciliation.
  • Generates reporting and provides analysis for other departments and external entities.
  • Responds to ad hoc inquiries and data requests as well as internal and external audit requests.
  • Supports payroll security processes by reviewing, coordinating, and maintaining access controls and user permissions.
  • Provides support for routine duties and facilitates supplemental payroll processing.

Skills

Analytical thinking
Problem solving
Attention to detail
Independent decision-making

Education

Bachelor’s Degree

Tools

MS Excel
MS Office Suite
Oracle
BW
SAP/S4

Job description

Norfolk Southern Corporation is seeking a Payroll Business Analyst to support reporting, data analysis, account reconciliations, and process improvements within a hybrid work environment in Atlanta, GA. You will partner with Accounting, IT, and other departments to streamline payroll operations and ensure accuracy.

Ideal candidates have a Bachelor’s Degree and 1–2 years of experience (3–5 preferred), with strong MS Excel and data query skills.

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