HRIS Analyst
Accountable for configuring the HR system and keeping the HR data in it accurate and complete.
4tasks in this job
37skills it uses
7tools named
The skills this job leans on most
- 1Enforcing and auditing data accessNeeded in 3 of 4 tasks
- 2Diagnosing data quality exceptionsNeeded in 2 of 4 tasks
- 3Repairing data defects reversibly under owner authorityNeeded in 2 of 4 tasks
- 4Applying data classification and handling rulesNeeded in 2 of 4 tasks
- 5Writing data quality rulesNeeded in 1 of 4 tasks
ToolsWorkdaySAP SuccessFactorsSympa HRiTrentServiceNowMicrosoft ExcelOracle HCM Cloud
All 4 tasks, where people get stuck and all 37 skills
Tasks
- Govern employment joiner, mover and leaver changes
- Apply an approved data access grant or revocation and prove its effect
- Monitor and correct data quality in a domain or system of record and drive remediation at source
- Configure, test and release a change to a business system of record under change control
Where people get stuck
- Testing changes to data services and business systems for business meaning and downstream impact
- Preparing change records with impact assessment and rollback
All skills
- Applying data classification and handling rules
- Diagnosing data quality exceptions
- Enforcing and auditing data access
- Repairing data defects reversibly under owner authority
- Writing data quality rules
- 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 duplicate records
- Diagnosing operational handoffs and flow
- Escalating unresolved risks with evidence and clear ownership
- Establishing and declaring data grain
- Explaining how business events flow into accounting records
- Identifying keys and testing referential integrity
- 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
- Profiling data
- 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
- Reconciling finance subledgers and close records
- Standardising and cleaning data under agreed rules
- 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
- Writing verifiable requirements and acceptance criteria
Paths to start
Skill Path
Data Preparation: Cleaning, Repair and Reconciliation
Check whether a table is fit for the job, then clean, repair and reconcile it with the evidence to back it.
- Modules
- 5 open
- Practice data
- Raket Parts
Skill Path
Data Literacy for Business Decisions
Judge whether a business claim from a table, KPI, chart or dashboard really holds up.
- Modules
- 5 open
- Practice data
- Raket Parts
Tool Path
Excel for Analysis and Decision Models
Build and check Excel workbooks others can trust.
- Modules
- 5 open
- Runs in
- Your browser
6tasks in this job
57skills it uses
10tools named
The skills this job leans on most
- 1Testing changes to data services and business systems for business meaning and downstream impactNeeded in 3 of 6 tasks
- 2Diagnosing data quality exceptionsNeeded in 2 of 6 tasks
- 3Writing data quality rulesNeeded in 2 of 6 tasks
- 4Repairing data defects reversibly under owner authorityNeeded in 2 of 6 tasks
- 5Preparing change records with impact assessment and rollbackNeeded in 1 of 6 tasks
ToolsWorkdayPower AutomateServiceNowMicrosoft Power BIMicrosoft SQL Server (with SSMS)Microsoft Excel+ 4 more
All 6 tasks, where people get stuck and all 57 skills
Tasks
- Govern employment joiner, mover and leaver changes
- Apply an approved data access grant or revocation and prove its effect
- Deliver and sustain a trusted BI report or dashboard
- Automate a recurring reporting or data task with controls and a named owner
- Monitor and correct data quality in a domain or system of record and drive remediation at source
- Configure, test and release a change to a business system of record under change control
Where people get stuck
- Gating releases on evidence with rollback ready
- Planning and validating controlled data migrations
- Assessing change risk, collisions and go or no-go
All skills
- Diagnosing data quality exceptions
- Preparing change records with impact assessment and rollback
- Repairing data defects reversibly under owner authority
- Testing changes to data services and business systems for business meaning and downstream impact
- Writing data quality rules
- Applying data classification and handling rules
- Applying effective dating and retroactive change rules to records
- Assessing data source credibility and fitness for a question
- Assessing lawful basis, purpose compatibility and minimisation for data reuse
- Assigning and operating data ownership and stewardship
- Building data protection by design into data products and pipelines
- Building decision-focused reports and dashboards
- 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 and versioning data contracts for consumers
- Designing automated pipelines and processes that fail safely and recover
- Designing efficient and reproducible investigations
- Designing enforceable data governance policies
- Designing role-based access entitlement models
- Designing semantic models for governed analytics
- Diagnosing duplicate records
- Diagnosing operational handoffs and flow
- Enforcing and auditing data access
- Escalating unresolved risks with evidence and clear ownership
- Establishing and declaring data grain
- Explaining how business events flow into accounting records
- Facilitating evidence-led retrospectives and corrective actions
- Gating releases on evidence with rollback ready
- Governing shared data definitions
- Identifying keys and testing referential integrity
- 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
- Managing master data identities and exceptions
- Mapping stakeholders' decisions, constraints and needs
- Monitoring and testing data control effectiveness
- Monitoring data quality and freshness in production
- Profiling data
- 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
- Reconciling finance subledgers and close records
- Setting and reviewing reliability objectives and error budgets for data and AI services
- Specifying BI measure semantics: additivity, aggregation and time
- Specifying decision-useful reports
- Standardising and cleaning data under agreed rules
- 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
- Writing verifiable requirements and acceptance criteria
All tools
- Workday
- Power Automate
- ServiceNow
- Microsoft Power BI
- Microsoft SQL Server (with SSMS)
- Microsoft Excel
- SAP SuccessFactors
- iTrent
- Sympa HR
- Oracle HCM Cloud
Paths to start
Skill Path
Data Preparation: Cleaning, Repair and Reconciliation
Check whether a table is fit for the job, then clean, repair and reconcile it with the evidence to back it.
- Modules
- 5 open
- Practice data
- Raket Parts
Tool Path
Excel for Analysis and Decision Models
Build and check Excel workbooks others can trust.
- Modules
- 5 open
- Runs in
- Your browser
Coming soonAnalytics Engineering: Tested, Version-controlled TransformationData Product Reliability: Release Gates, Service Levels and Incidents
9tasks in this job
85skills it uses
11tools named
The skills this job leans on most
- 1Gating releases on evidence with rollback readyNeeded in 5 of 9 tasks
- 2Repairing data defects reversibly under owner authorityNeeded in 5 of 9 tasks
- 3Testing changes to data services and business systems for business meaning and downstream impactNeeded in 5 of 9 tasks
- 4Diagnosing data quality exceptionsNeeded in 4 of 9 tasks
- 5Writing data quality rulesNeeded in 3 of 9 tasks
ToolsAzure Data FactoryPower AutomateWorkdayJiraServiceNowSympa HR+ 5 more
All 9 tasks, where people get stuck and all 85 skills
Tasks
- Diagnose a data pipeline failure and recover safely
- Govern employment joiner, mover and leaver changes
- Prepare and verify a data-service release or migration for change approval
- Apply an approved data access grant or revocation and prove its effect
- Automate a recurring reporting or data task with controls and a named owner
- Assign data ownership and stewardship and decide a domain's data standards
- Monitor and correct data quality in a domain or system of record and drive remediation at source
- Agree a data contract with source and consumer owners and assess the impact of upstream changes
- Configure, test and release a change to a business system of record under change control
Where people get stuck
- Gating releases on evidence with rollback ready
- Diagnosing data quality exceptions
- Assessing change risk, collisions and go or no-go
All skills
- Diagnosing data quality exceptions
- Gating releases on evidence with rollback ready
- Repairing data defects reversibly under owner authority
- Testing changes to data services and business systems for business meaning and downstream impact
- Writing data quality rules
- Applying data classification and handling rules
- Applying effective dating and retroactive change rules to records
- Assessing change risk, collisions and go or no-go
- Assessing data source credibility and fitness for a question
- Assessing data-service continuity and recoverability
- Assessing lawful basis, purpose compatibility and minimisation for data reuse
- Assessing privacy risk through data protection impact assessments
- Assigning and operating data ownership and stewardship
- Building data protection by design into data products and pipelines
- Building decision-focused reports and dashboards
- Calculating and verifying KPIs against their specification
- Classifying AI uses against regulatory obligations
- Combining tables safely: cardinality, fan-out and conservation of totals
- Comparing periods consistently
- Controlling disclosure risk in shared data and outputs
- Coordinating accountable handoffs between teams
- Debugging data and application services from evidence
- Designing and validating digital analytics event measurement
- Designing and versioning data contracts for consumers
- Designing automated pipelines and processes that fail safely and recover
- Designing decision rights and dispute routes for data and AI work
- Designing efficient and reproducible investigations
- Designing enforceable data governance policies
- Designing role-based access entitlement models
- Designing semantic models for governed analytics
- Designing testable data controls
- 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 how business events flow into accounting records
- Explaining technical work to accountable non-specialists
- Facilitating evidence-led retrospectives and corrective actions
- Giving specific developmental feedback on data and AI work
- Governing shared data definitions
- Identifying and prioritising critical data elements
- 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
- Judging whether and how to use AI for a task
- Locating and acting on personal data for individual rights requests
- Managing master data identities and exceptions
- Mapping personal data processing and flows
- Mapping proposed process changes and control impacts
- Mapping stakeholders' decisions, constraints and needs
- Monitoring and testing data control effectiveness
- Monitoring data quality and freshness in production
- Preparing change records with impact assessment and rollback
- Profiling data
- Rating risks against appetite and choosing proportionate treatment
- Reading and tracing unfamiliar code
- Reading business metrics
- Reading data tables: rows, fields, types and units
- Recognising and containing suspected personal data breaches
- Recognising personal data and privacy duties
- Recognising statutory incident reporting duties and deadlines
- Reconciling conflicting reports
- Reconciling finance subledgers and close records
- Recovering data pipelines safely
- Resolving consent and suppression status across systems
- Running incident command: severity, timeline and status updates
- Sampling and reviewing a team's work against standards
- Setting and reviewing reliability objectives and error budgets for data and AI services
- Specifying BI measure semantics: additivity, aggregation and time
- Specifying decision-useful reports
- Standardising and cleaning data under agreed rules
- 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
- Azure Data Factory
- Power Automate
- Workday
- Jira
- ServiceNow
- Sympa HR
- Microsoft Excel
- Microsoft SQL Server (with SSMS)
- Microsoft Power BI
- SAP SuccessFactors
- iTrent
Paths to start
Skill Path
Data Preparation: Cleaning, Repair and Reconciliation
Check whether a table is fit for the job, then clean, repair and reconcile it with the evidence to back it.
- Modules
- 5 open
- Practice data
- Raket Parts
Tool Path
Excel for Analysis and Decision Models
Build and check Excel workbooks others can trust.
- Modules
- 5 open
- Runs in
- Your browser
Coming soonData Product Reliability: Release Gates, Service Levels and IncidentsAnalytics Engineering: Tested, Version-controlled Transformation
About the role
Accountable for configuring the HR system and keeping the HR data in it accurate and complete. Decides how fields, workflows and reports are built within agreed design and access rules. Data judgement sits in HR data integrity and access to personal data, where a People Analyst analyses the data rather than running the system.
Also called HR Systems Analyst, HR Information Systems Analyst, People Systems Analyst