Payroll Data Analyst - Reporting & Process Improvement (Hybrid)

GXO Logistics; Northampton; Hybrid; GBP 46,000 - 55,000; Full time

Job summary

A leading supply chain solutions provider in Northampton is seeking a Payroll MI Analyst to join on a 9-month fixed-term contract. In this role, you will engage in data reporting, exception analysis, and process improvements, all aimed at streamlining payroll operations. Required qualifications include experience with data analytics tools, a solid background in payroll, and familiarity with payroll products like ADP Global View or SAP. This position offers a competitive salary and flexible working conditions.

Benefits

Competitive salary

25 days holiday plus bank holidays

Cycle-to-work scheme

Workplace pension

Qualifications

• Solid background in payroll with experience in data reporting.
• Hands-on experience with payroll products such as ADP Global View or SAP.
• Ability to analyze payroll data and identify discrepancies.

Responsibilities

• Support payroll team with analysis of payroll data.
• Provide monthly management and payroll performance reports.
• Develop understanding of payroll data requirements and tools.
• Lead continuous improvement in payroll processes.

Skills

Confident user of data analytics tools (Power BI, Google Analytics, Tableau)

SQL knowledge

Advanced MS Access

Knowledge of Java or Python

Familiarity with data lake/warehouse

VBA knowledge

Strong analytical skills

Project management skills

Tools

ADP Global View

SAP

Job description

A leading supply chain solutions provider in Northampton is seeking a Payroll MI Analyst to join on a 9-month fixed-term contract. In this role, you will engage in data reporting, exception analysis, and process improvements, all aimed at streamlining payroll operations. Required qualifications include experience with data analytics tools, a solid background in payroll, and familiarity with payroll products like ADP Global View or SAP. This position offers a competitive salary and flexible working conditions.