Payroll Specialist
Accountable for correct and on-time pay through controlled payroll calculation, payment readiness and reconciliation to the ledger.
The skills this job leans on most
- 1Recalculating pay and incentive outcomes from plan rulesNeeded in 2 of 2 tasks
- 2Resolving and escalating pay, incentive and payment exceptions within authorityNeeded in 2 of 2 tasks
- 3Applying effective dating and retroactive change rules to recordsNeeded in 2 of 2 tasks
- 4Reconciling finance subledgers and close recordsCore to this role
- 5Verifying payment and bank-detail changes against fraud controlsCore to this role
All 2 tasks, where people get stuck and all 7 skills
Tasks
- Run a controlled payroll calculation and payment readiness check
- Investigate and resolve an individual payroll exception
Where people get stuck
All skills
- Applying effective dating and retroactive change rules to records
- Recalculating pay and incentive outcomes from plan rules
- Resolving and escalating pay, incentive and payment exceptions within authority
- Diagnosing duplicate records
- Escalating unresolved risks with evidence and clear ownership
- Interpreting policy scope and delegated authority limits
- Validating records by matching, recomputation and end-to-end tracing
Paths to start
The skills this job leans on most
- 1Recalculating pay and incentive outcomes from plan rulesNeeded in 2 of 4 tasks
- 2Resolving and escalating pay, incentive and payment exceptions within authorityNeeded in 2 of 4 tasks
- 3Reconciling finance subledgers and close recordsNeeded in 1 of 4 tasks
- 4Explaining how business events flow into accounting recordsNeeded in 1 of 4 tasks
- 5Verifying payment and bank-detail changes against fraud controlsCore to this role
All 4 tasks, where people get stuck and all 33 skills
Tasks
- Reconcile payroll to finance postings
- Run a controlled payroll calculation and payment readiness check
- Investigate and resolve an individual payroll exception
- Govern employment joiner, mover and leaver changes
Where people get stuck
- Verifying payment and bank-detail changes against fraud controls
- Applying effective dating and retroactive change rules to records
All skills
- Explaining how business events flow into accounting records
- Recalculating pay and incentive outcomes from plan rules
- Reconciling finance subledgers and close records
- Resolving and escalating pay, incentive and payment exceptions within authority
- Applying effective dating and retroactive change rules to records
- Assessing data source credibility and fitness for a question
- Assigning and operating data ownership and stewardship
- Calculating and verifying KPIs against their specification
- Combining tables safely: cardinality, fan-out and conservation of totals
- Comparing periods consistently
- Designing and validating digital analytics event measurement
- Designing efficient and reproducible investigations
- Diagnosing data quality exceptions
- Diagnosing duplicate records
- Diagnosing operational handoffs and flow
- Escalating unresolved risks with evidence and clear ownership
- Establishing and declaring data grain
- Facilitating evidence-led retrospectives and corrective actions
- Influencing change without formal authority
- Interpreting policy scope and delegated authority limits
- Investigating anomalies
- Investigating procurement spend leakage and duplicate commitments
- Judging the materiality of defects and deficiencies for the intended use
- Reading business metrics
- Reading data tables: rows, fields, types and units
- Recognising personal data and privacy duties
- Recognising statutory incident reporting duties and deadlines
- Reconciling conflicting reports
- Repairing data defects reversibly under owner authority
- Testing competing explanations with discriminating evidence
- Tracing data lineage upstream and downstream
- Validating records by matching, recomputation and end-to-end tracing
- Working through stakeholder conflict over evidence and responsibility
Paths to start
Tool Path
Excel for Analysis and Decision Models
Build and check Excel workbooks others can trust.
- Modules
- 5 open
- Runs in
- Your browser
Skill Path
Business Data Controls and Reconciliation
Design, test and operate controls and reconciliations.
- Modules
- 5 open
- Practice data
- Raket Parts
Skill Path
Diagnostic Investigation and Root Cause Analysis
Resolve contradictory evidence and find, verify and prevent the causes of business and data anomalies.
- Modules
- 5 open
- Practice data
- Raket Parts
The skills this job leans on most
- 1Reconciling finance subledgers and close recordsNeeded in 2 of 5 tasks
- 2Recalculating pay and incentive outcomes from plan rulesNeeded in 2 of 5 tasks
- 3Resolving and escalating pay, incentive and payment exceptions within authorityNeeded in 2 of 5 tasks
- 4Explaining how business events flow into accounting recordsNeeded in 2 of 5 tasks
- 5Verifying payment and bank-detail changes against fraud controlsCore to this role
All 5 tasks, where people get stuck and all 48 skills
Tasks
- Reconcile payroll to finance postings
- Run a controlled payroll calculation and payment readiness check
- Investigate and resolve an individual payroll exception
- Design data-dependent controls for a new or changed finance or people process, system or automation
- Configure, test and release a change to a business system of record under change control
Where people get stuck
- Verifying payment and bank-detail changes against fraud controls
- Applying effective dating and retroactive change rules to records
All skills
- Explaining how business events flow into accounting records
- Recalculating pay and incentive outcomes from plan rules
- Reconciling finance subledgers and close records
- Resolving and escalating pay, incentive and payment exceptions within authority
- Applying effective dating and retroactive change rules to records
- Assessing data source credibility and fitness for a question
- Assigning and operating data ownership and stewardship
- Building data protection by design into data products and pipelines
- Calculating and verifying KPIs against their specification
- Combining tables safely: cardinality, fan-out and conservation of totals
- Comparing periods consistently
- Designing and validating digital analytics event measurement
- Designing efficient and reproducible investigations
- Diagnosing data quality exceptions
- Diagnosing duplicate records
- Diagnosing misleading data visualisations
- Diagnosing operational handoffs and flow
- Disclosing AI contribution to professional work
- Enforcing and auditing data access
- Escalating unresolved risks with evidence and clear ownership
- Establishing and declaring data grain
- Explaining control types, dependencies and compensating controls
- Facilitating evidence-led retrospectives and corrective actions
- Gating releases on evidence with rollback ready
- Giving specific developmental feedback on data and AI work
- Identifying keys and testing referential integrity
- Independently checking analytical conclusions and claims
- Influencing change without formal authority
- Interpreting policy scope and delegated authority limits
- Investigating anomalies
- Investigating procurement spend leakage and duplicate commitments
- Judging the materiality of defects and deficiencies for the intended use
- Preparing change records with impact assessment and rollback
- Reading business metrics
- Reading data tables: rows, fields, types and units
- Recognising personal data and privacy duties
- Recognising statutory incident reporting duties and deadlines
- Reconciling conflicting reports
- Repairing data defects reversibly under owner authority
- Sampling and reviewing a team's work against standards
- Testing changes to data services and business systems for business meaning and downstream impact
- Testing competing explanations with discriminating evidence
- Tracing data lineage upstream and downstream
- Validating records by matching, recomputation and end-to-end tracing
- Verifying AI-assisted outputs against sources
- Verifying reports and dashboards before and after release
- Working through stakeholder conflict over evidence and responsibility
- Writing verifiable requirements and acceptance criteria
All tools
- Microsoft Excel
- SAP S/4HANA
- Microsoft Dynamics 365 Business Central
- Visma ERP and accounting
- iTrent
- SD Worx
- Sage Payroll
- Visma payroll (Visma Lønn, Visma Enterprise HRM, Visma Løn)
- Hogia Lön
- ServiceNow
Paths to start
Tool Path
Excel for Analysis and Decision Models
Build and check Excel workbooks others can trust.
- Modules
- 5 open
- Runs in
- Your browser
Skill Path
Business Data Controls and Reconciliation
Design, test and operate controls and reconciliations.
- Modules
- 5 open
- Practice data
- Raket Parts
Skill Path
Diagnostic Investigation and Root Cause Analysis
Resolve contradictory evidence and find, verify and prevent the causes of business and data anomalies.
- Modules
- 5 open
- Practice data
- Raket Parts
About the role
Accountable for correct and on-time pay through controlled payroll calculation, payment readiness and reconciliation to the ledger. Decides how individual pay exceptions are resolved within payroll rules and controls. Data judgement sits in validating inputs, explaining variances and protecting sensitive pay data.
Also called Payroll Administrator, Payroll Officer
