Data Steward
Accountable for applying governance policy and data quality rules in one data domain.
3tasks in this job
25skills it uses
9tools named
The skills this job leans on most
- 1Writing data quality rulesNeeded in 3 of 3 tasks
- 2Assessing lawful basis, purpose compatibility and minimisation for data reuseNeeded in 3 of 3 tasks
- 3Diagnosing data quality exceptionsNeeded in 2 of 3 tasks
- 4Repairing data defects reversibly under owner authorityNeeded in 2 of 3 tasks
- 5Controlling disclosure risk in shared data and outputsNeeded in 1 of 3 tasks
ToolsServiceNowCollibraMicrosoft PurviewAtaccama ONEExperian Aperture Data StudioSQL (query language)Microsoft ExcelSAP Master Data Governance (MDG)SAP S/4HANA
All 3 tasks, where people get stuck and all 25 skills
Tasks
- Review a proposed use, reuse, disclosure of or access to data and record the permitted-use decision
- Monitor and correct data quality in a domain or system of record and drive remediation at source
- Define master data match and survivorship rules and recommend golden-record changes for the data owner's approval
Where people get stuck
- Diagnosing duplicate records
- Managing master data identities and exceptions
- Applying effective dating and retroactive change rules to records
All skills
- Diagnosing data quality exceptions
- Repairing data defects reversibly under owner authority
- Writing data quality rules
- Applying data classification and handling rules
- Assessing data source credibility and fitness for a question
- Assigning and operating data ownership and stewardship
- Designing and validating digital analytics event measurement
- Designing efficient and reproducible investigations
- Designing testable data controls
- Diagnosing duplicate records
- Diagnosing operational handoffs and flow
- Enforcing and auditing data access
- Escalating unresolved risks with evidence and clear ownership
- Investigating anomalies
- Investigating procurement spend leakage and duplicate commitments
- Locating and acting on personal data for individual rights requests
- Mapping personal data processing and flows
- Profiling data
- Recognising and containing suspected personal data breaches
- Recognising statutory incident reporting duties and deadlines
- Reconciling conflicting 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
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
SQL for Analysis
Answer real business questions with SQL, from your first query to finding why a number moved.
- Modules
- 5 open
- Runs in
- Your browser
5tasks in this job
40skills it uses
8tools named
The skills this job leans on most
- 1Writing data quality rulesNeeded in 5 of 5 tasks
- 2Diagnosing data quality exceptionsNeeded in 4 of 5 tasks
- 3Repairing data defects reversibly under owner authorityNeeded in 4 of 5 tasks
- 4Assessing lawful basis, purpose compatibility and minimisation for data reuseNeeded in 4 of 5 tasks
- 5Diagnosing duplicate recordsNeeded in 3 of 5 tasks
ToolsCollibraMicrosoft PurviewServiceNowAtaccama ONEExperian Aperture Data StudioSQL (query language)+ 2 more
All 5 tasks, where people get stuck and all 40 skills
Tasks
- Define and govern a KPI metric contract
- Review a proposed use, reuse, disclosure of or access to data and record the permitted-use decision
- 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
- Define master data match and survivorship rules and recommend golden-record changes for the data owner's approval
Where people get stuck
- Diagnosing data quality exceptions
- Assessing lawful basis, purpose compatibility and minimisation for data reuse
- Managing master data identities and exceptions
All skills
- Assessing lawful basis, purpose compatibility and minimisation for data reuse
- Diagnosing data quality exceptions
- Diagnosing duplicate records
- Repairing data defects reversibly under owner authority
- Writing data quality rules
- Applying data classification and handling rules
- Assessing data source credibility and fitness for a question
- 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
- Controlling disclosure risk in shared data and outputs
- Designing and validating digital analytics event measurement
- Designing and versioning data contracts for consumers
- Designing efficient and reproducible investigations
- Designing testable data controls
- Diagnosing operational handoffs and flow
- Enforcing and auditing data access
- Escalating unresolved risks with evidence and clear ownership
- Facilitating evidence-led retrospectives and corrective actions
- Governing shared data definitions
- Influencing change without formal authority
- Interpreting policy scope and delegated authority limits
- Investigating anomalies
- Investigating procurement spend leakage and duplicate commitments
- Locating and acting on personal data for individual rights requests
- Managing master data identities and exceptions
- Mapping personal data processing and flows
- Monitoring data quality and freshness in production
- Profiling data
- Reading business metrics
- Recognising and containing suspected personal data breaches
- Recognising personal data and privacy duties
- Recognising statutory incident reporting duties and deadlines
- Reconciling conflicting reports
- Resolving consent and suppression status across systems
- 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
All tools
- Collibra
- Microsoft Purview
- ServiceNow
- Ataccama ONE
- Experian Aperture Data Studio
- SQL (query language)
- Microsoft Power BI
- SAP Master Data Governance (MDG)
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
SQL for Analysis
Answer real business questions with SQL, from your first query to finding why a number moved.
- Modules
- 5 open
- Runs in
- Your browser
7tasks in this job
41skills it uses
9tools named
The skills this job leans on most
- 1Writing data quality rulesNeeded in 7 of 7 tasks
- 2Assessing lawful basis, purpose compatibility and minimisation for data reuseNeeded in 6 of 7 tasks
- 3Diagnosing data quality exceptionsNeeded in 5 of 7 tasks
- 4Repairing data defects reversibly under owner authorityNeeded in 5 of 7 tasks
- 5Diagnosing duplicate recordsNeeded in 4 of 7 tasks
ToolsCollibraSQL (query language)Microsoft Power BIServiceNowMicrosoft SharePointMicrosoft Purview+ 3 more
All 7 tasks, where people get stuck and all 41 skills
Tasks
- Define and govern a KPI metric contract
- Assess data quality and fitness for a stated use
- Review a proposed use, reuse, disclosure of or access to data and record the permitted-use decision
- Design and review governed data-access entitlement policy
- 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
- Define master data match and survivorship rules and recommend golden-record changes for the data owner's approval
Where people get stuck
- Diagnosing data quality exceptions
- Assessing lawful basis, purpose compatibility and minimisation for data reuse
- Managing master data identities and exceptions
All skills
- Assessing lawful basis, purpose compatibility and minimisation for data reuse
- Diagnosing data quality exceptions
- Diagnosing duplicate records
- Repairing data defects reversibly under owner authority
- Writing data quality rules
- Applying data classification and handling rules
- Assessing data source credibility and fitness for a question
- 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
- Controlling disclosure risk in shared data and outputs
- Designing and validating digital analytics event measurement
- Designing and versioning data contracts for consumers
- Designing efficient and reproducible investigations
- Designing enforceable data governance policies
- Designing testable data controls
- Diagnosing operational handoffs and flow
- Enforcing and auditing data access
- Escalating unresolved risks with evidence and clear ownership
- Facilitating evidence-led retrospectives and corrective actions
- Governing shared data definitions
- Influencing change without formal authority
- Interpreting policy scope and delegated authority limits
- Investigating anomalies
- Investigating procurement spend leakage and duplicate commitments
- Locating and acting on personal data for individual rights requests
- Managing master data identities and exceptions
- Mapping personal data processing and flows
- Monitoring data quality and freshness in production
- Profiling data
- Reading business metrics
- Recognising and containing suspected personal data breaches
- Recognising personal data and privacy duties
- Recognising statutory incident reporting duties and deadlines
- Reconciling conflicting reports
- Resolving consent and suppression status across systems
- 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
All tools
- Collibra
- SQL (query language)
- Microsoft Power BI
- ServiceNow
- Microsoft SharePoint
- Microsoft Purview
- Ataccama ONE
- Microsoft Excel
- SAP Master Data Governance (MDG)
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
SQL for Analysis
Answer real business questions with SQL, from your first query to finding why a number moved.
- Modules
- 5 open
- Runs in
- Your browser
About the role
Accountable for applying governance policy and data quality rules in one data domain. Keeps definitions, quality rules and access records current and refers disputed or novel decisions to the Data Governance Lead. Data judgement sits in deciding whether a request or a quality issue falls clearly within policy.
Also called Data Quality Analyst, Data Governance Analyst, Master Data Specialist, Data Manager (when the role has no team)