4tasks in this job
29skills it uses
7tools named
The skills this job leans on most
- 1Interpreting policy scope and delegated authority limitsNeeded in 4 of 4 tasks
- 2Designing and applying governed tender evaluation criteriaNeeded in 2 of 4 tasks
- 3Analysing supply markets and choosing a sourcing routeNeeded in 2 of 4 tasks
ToolsMicrosoft ExcelSAP AribaJaggaerMercellMicrosoft Power BISAP S/4HANACoupa
All 4 tasks, where people get stuck and all 29 skills
Tasks
- Run controlled competitive-sourcing evaluation and award handoff
- Investigate procurement spend leakage and duplicate commitments
- Assess supplier risk and maintain the supplier risk register
- Classify spend to the category taxonomy and maintain a trusted spend baseline
Where people get stuck
- Diagnosing duplicate records
- Validating records by matching, recomputation and end-to-end tracing
- Managing master data identities and exceptions
All skills
- Analysing supply markets and choosing a sourcing route
- Designing and applying governed tender evaluation criteria
- Applying data classification and handling rules
- Assessing data source credibility and fitness for a question
- Assigning and operating data ownership and stewardship
- Calculating and verifying KPIs against their specification
- Classifying spend to a category taxonomy and maintaining a trusted baseline
- Combining tables safely: cardinality, fan-out and conservation of totals
- Comparing periods consistently
- Designing and validating digital analytics event measurement
- Diagnosing data quality exceptions
- Diagnosing duplicate records
- Escalating unresolved risks with evidence and clear ownership
- Establishing and declaring data grain
- Evaluating supplier total cost and value
- Explaining how business events flow into accounting records
- Interpreting supplier contract duties, terms and exposure
- Investigating procurement spend leakage and duplicate commitments
- Judging the materiality of defects and deficiencies for the intended use
- Profiling data
- Reading business metrics
- Reading data tables: rows, fields, types and units
- Reconciling conflicting reports
- Reconciling finance subledgers and close records
- Repairing data defects reversibly under owner authority
- Standardising and cleaning data under agreed rules
- Tracing data lineage upstream and downstream
- Validating records by matching, recomputation and end-to-end tracing
- Writing data quality rules
Paths to start
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
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
5tasks in this job
47skills it uses
7tools named
The skills this job leans on most
- 1Investigating procurement spend leakage and duplicate commitmentsNeeded in 5 of 5 tasks
- 2Diagnosing duplicate recordsNeeded in 2 of 5 tasks
- 3Validating records by matching, recomputation and end-to-end tracingNeeded in 2 of 5 tasks
- 4Managing master data identities and exceptionsNeeded in 2 of 5 tasks
- 5Designing and applying governed tender evaluation criteriaNeeded in 2 of 5 tasks
ToolsSAP AribaCoupaJaggaerMercellMicrosoft ExcelSAP S/4HANA+ 1 more
All 5 tasks, where people get stuck and all 47 skills
Tasks
- Run controlled competitive-sourcing evaluation and award handoff
- Investigate procurement spend leakage and duplicate commitments
- Monitor and correct data quality in a domain or system of record and drive remediation at source
- Assess supplier risk and maintain the supplier risk register
- Classify spend to the category taxonomy and maintain a trusted spend baseline
Where people get stuck
- Managing master data identities and exceptions
- Interpreting policy scope and delegated authority limits
All skills
- Designing and applying governed tender evaluation criteria
- Diagnosing duplicate records
- Investigating procurement spend leakage and duplicate commitments
- Managing master data identities and exceptions
- Validating records by matching, recomputation and end-to-end tracing
- Analysing supply markets and choosing a sourcing route
- Applying data classification and handling rules
- 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
- Assessing supplier dependency, data-handling and exit risk
- Assigning and operating data ownership and stewardship
- Calculating and verifying KPIs against their specification
- Classifying AI uses against regulatory obligations
- Classifying spend to a category taxonomy and maintaining a trusted baseline
- Combining tables safely: cardinality, fan-out and conservation of totals
- Comparing options against explicit decision criteria
- Comparing periods consistently
- Coordinating accountable handoffs between teams
- Designing and validating digital analytics event measurement
- Designing and versioning data contracts for consumers
- Diagnosing data quality exceptions
- Escalating unresolved risks with evidence and clear ownership
- Establishing and declaring data grain
- Evaluating responsible AI use risks
- Evaluating supplier total cost and value
- Explaining how business events flow into accounting records
- Governing shared data definitions
- Influencing change without formal authority
- Interpreting policy scope and delegated authority limits
- Interpreting supplier contract duties, terms and exposure
- Judging the materiality of defects and deficiencies for the intended use
- Monitoring data quality and freshness in production
- Profiling data
- Rating risks against appetite and choosing proportionate treatment
- Reading business metrics
- Reading data tables: rows, fields, types and units
- Recognising and resolving ethical conflicts in data and AI work
- Reconciling conflicting reports
- Reconciling finance subledgers and close records
- Repairing data defects reversibly under owner authority
- Standardising and cleaning data under agreed rules
- Testing competing explanations with discriminating evidence
- Tracing data lineage upstream and downstream
- Writing data quality rules
- Writing verifiable requirements and acceptance criteria
All tools
- SAP Ariba
- Coupa
- Jaggaer
- Mercell
- Microsoft Excel
- SAP S/4HANA
- Microsoft Power BI
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
68skills it uses
9tools named
The skills this job leans on most
- 1Investigating procurement spend leakage and duplicate commitmentsNeeded in 5 of 6 tasks
- 2Diagnosing duplicate recordsNeeded in 2 of 6 tasks
- 3Validating records by matching, recomputation and end-to-end tracingNeeded in 2 of 6 tasks
- 4Managing master data identities and exceptionsNeeded in 2 of 6 tasks
- 5Designing and applying governed tender evaluation criteriaNeeded in 2 of 6 tasks
ToolsCoupaJaggaerMercellSAP AribaMicrosoft ExcelSAP S/4HANA+ 3 more
All 6 tasks, where people get stuck and all 68 skills
Tasks
- Run controlled competitive-sourcing evaluation and award handoff
- Investigate procurement spend leakage and duplicate commitments
- 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
- Assess supplier risk and maintain the supplier risk register
- Classify spend to the category taxonomy and maintain a trusted spend baseline
Where people get stuck
- Managing master data identities and exceptions
- Interpreting policy scope and delegated authority limits
All skills
- Designing and applying governed tender evaluation criteria
- Diagnosing duplicate records
- Investigating procurement spend leakage and duplicate commitments
- Managing master data identities and exceptions
- Validating records by matching, recomputation and end-to-end tracing
- Analysing supply markets and choosing a sourcing route
- Applying data classification and handling rules
- 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
- Assessing supplier dependency, data-handling and exit risk
- 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
- Classifying spend to a category taxonomy and maintaining a trusted baseline
- Combining tables safely: cardinality, fan-out and conservation of totals
- Comparing options against explicit decision criteria
- Comparing periods consistently
- Coordinating accountable handoffs between teams
- 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 semantic models for governed analytics
- Diagnosing data quality exceptions
- Diagnosing misleading data visualisations
- Diagnosing operational handoffs and flow
- Disclosing AI contribution to professional work
- Escalating unresolved risks with evidence and clear ownership
- Establishing and declaring data grain
- Evaluating responsible AI use risks
- Evaluating supplier total cost and value
- Explaining how business events flow into accounting records
- Facilitating evidence-led retrospectives and corrective actions
- Gating releases on evidence with rollback ready
- Giving specific developmental feedback on data and AI work
- Governing shared data definitions
- Identifying keys and testing referential integrity
- Independently checking analytical conclusions and claims
- Influencing change without formal authority
- Interpreting policy scope and delegated authority limits
- Interpreting supplier contract duties, terms and exposure
- Investigating anomalies
- Judging the materiality of defects and deficiencies for the intended use
- Monitoring data quality and freshness in production
- Profiling data
- Rating risks against appetite and choosing proportionate treatment
- Reading business metrics
- Reading data tables: rows, fields, types and units
- Recognising and resolving ethical conflicts in data and AI work
- Recognising statutory incident reporting duties and deadlines
- Reconciling conflicting reports
- Reconciling finance subledgers and close records
- Repairing data defects reversibly under owner authority
- Sampling and reviewing a team's work against standards
- 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
- Verifying AI-assisted outputs against sources
- Verifying reports and dashboards before and after release
- Working through stakeholder conflict over evidence and responsibility
- Writing data quality rules
- Writing verifiable requirements and acceptance criteria
All tools
- Coupa
- Jaggaer
- Mercell
- SAP Ariba
- Microsoft Excel
- SAP S/4HANA
- Power Automate
- Visma ERP and accounting
- Microsoft Power BI
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
About the role
Accountable for running controlled sourcing evaluations and detecting spend leakage and duplicate commitments. Decides how suppliers are scored and recommends awards within the governance set. Data judgement sits in analysing spend data and testing whether an evaluation is fair.
Also called Buyer, Purchaser, Sourcing Specialist, Procurement Officer, Procurement Analyst