People Analytics and Reward Analyst

Role overview

People data and insight

• Cleanse and reconcile employee data across PeopleXD, Payroll, and Finance; investigate discrepancies and coordinate corrections.
• Recommend consistent data definitions, structures, and capture processes in PeopleXD.
• Develop dashboards and management information on headcount, workforce costs, and people measures; explain trends and exceptions.
• Maintain validation checks and reconciliations, and improve reporting through appropriate automation.

Reward, benefits and pensions

• Provide salary benchmarking, internal pay analysis, and total reward comparisons for job levels, pay bands, salary ranges, and frameworks.
• Support role assessments against the developing job levelling framework.
• Support pay review, bonus, and incentive processes with scenario modelling, affordability analysis, and data validation.
• Analyse benefits and pension participation, utilisation, and cost; maintain eligibility, provider, renewal, and contractual records.
• Support benefit reviews and renewals, model proposed changes, and investigate payroll or pension contribution discrepancies.

Workforce planning and governance

• Work with FP&A, Finance, and Payroll on consistent workforce assumptions for budgets, forecasts, and longer-term plans.
• Model financial impacts of pay, benefits, incentives, and workforce changes; explain assumptions, risks, and options.
• Support people-investment business cases and agreement on data and assumptions.
• Maintain PeopleXD data processes, document definitions and modelling assumptions, apply controls, and handle confidential information securely.

Essential criteria

• Experience in people analytics, reward, workforce planning, finance, or another analytical role, applying analysis to business decisions.
• Strong Excel skills, including manipulating and reconciling substantial datasets and building financial or workforce models.
• Ability to interpret complex data, identify trends, and explain recommendations to non-specialist stakeholders.
• Experience improving data quality, investigating discrepancies, and maintaining accurate, validated reporting.
• Confidence working with workforce costs or comparable financial data, with strong numerical skills.

Work arrangement

• Manchester-based role with hybrid working and two days in the office.

Hours and schedule

• Full-time, 37.5 hours per week, Monday to Friday.

Salary

• Salary is £45,000–£50,000 per annum, dependent on experience.

Contract