Payroll Data Analyst

Company: Primark
Apply for the Payroll Data Analyst
Location: Reading
Job Description:

Payroll Data Analyst (Global Programme)

Location: Reading or Dublin (hybrid)

Duration: Initial 6 Months

Contract Type: Day Rate (Inside IR35 if UK based)

About the Role

We’re hiring a Payroll Data Analyst to support payroll transformation, system implementations, and operational improvement across a complex, multi‑country organisation. You’ll analyse, validate, cleanse, and reconcile payroll data while working closely with Payroll, HR, Finance, Technology, and external providers to ensure accuracy, integrity, and compliance.

Key Responsibilities

  • Payroll data analysis – Analyse, validate, and reconcile data across multiple systems.
  • Data cleansing & migration – Support mapping, transformation, QA, and migration activities.
  • Transformation support – Contribute to payroll system implementations and process improvements.
  • Reporting & insights – Produce dashboards, reports, and actionable insights.
  • Issue investigation – Resolve discrepancies and recommend fixes.
  • Audit & compliance – Support statutory reporting and audit data needs.
  • Controls & documentation – Maintain validation, reconciliation, and control processes.
  • Testing support – Assist with UAT and parallel payroll runs during implementations.

Essential Skills

  • Proven experience as a Payroll Data Analyst or similar role.
  • Strong understanding of payroll processes, data structures, and controls.
  • Advanced Excel (Pivot Tables, XLOOKUP, Power Query).
  • Experience working with large data sets and complex reconciliations.
  • Exposure to payroll system implementations or upgrades.
  • Excellent attention to detail, problem‑solving, and stakeholder engagement.
  • Experience partnering with Payroll, HR, Finance, and external providers.

Desirable

  • Retail or multi‑site experience.
  • Knowledge of UK/international payroll.
  • Familiarity with systems like Workday, SAP, Oracle, ADP, SD Worx, SuccessFactors.
  • Experience with Power BI, SQL, or other visualisation tools.
  • Background in payroll migrations or outsourcing programmes.
  • Understanding of GDPR and payroll data governance.

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Posted: September 25th, 2026