Explore Tasks
Assess data quality and fitness for a stated use
A data consumer receives a fitness verdict with the quality dimensions tested, the limits found and whether the data can support the stated use; issues go to the data owner or Data Steward.
7jobs do it
2jobs help with it
30skills it needs
- Data Analyst
- Analytics Engineer
- Data Steward
- Marketing Executive
- Data Product Manager
- Business Analyst
- Lead Business Analyst
- Data Governance Lead
- Marketing Operations Lead
Does itHelps with it
- Reading and tracing unfamiliar code
- Reviewing human- and AI-generated code changes for correctness and risk
- Sampling and reviewing a team's work against standards
- Diagnosing misleading data visualisations
- Verifying reports and dashboards before and after release
- Verifying AI-assisted outputs against sources
- Disclosing AI contribution to professional work
- Testing competing explanations with discriminating evidence
- Independently checking analytical conclusions and claims
- Escalating unresolved risks with evidence and clear ownership
- Giving specific developmental feedback on data and AI work
- Judging the materiality of defects and deficiencies for the intended use
- Designing and validating digital analytics event measurement
- Assessing data source credibility and fitness for a question
- Profiling data
- Diagnosing data quality exceptions
- Standardising and cleaning data under agreed rules
- Governing shared data definitions
- Diagnosing duplicate records
- Writing data quality rules
- Repairing data defects reversibly under owner authority
- Monitoring data quality and freshness in production
- Designing and versioning data contracts for consumers
- Applying data classification and handling rules
- Assessing lawful basis, purpose compatibility and minimisation for data reuse
- Assigning and operating data ownership and stewardship
- Designing enforceable data governance policies
- Managing master data identities and exceptions
- Investigating procurement spend leakage and duplicate commitments
- Influencing change without formal authority
Paths that teach the skills it needs
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
Skill Path
Data Governance, Catalogues and Lineage
Govern definitions, stewardship, lineage and enforceable policy.
- Modules
- 5 open
- Practice data
- Raket Parts