Explore Tasks
Set disclosure control rules for sensitive data outputs and review exceptions
Analysts receive documented minimum group sizes, suppression and rounding rules and release criteria for people, survey and customer research outputs.
1job does it
4jobs help with it
31skills it needs
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
- Locating and acting on personal data for individual rights requests
- Writing data quality rules
- Enforcing and auditing data access
- Recognising personal data and privacy duties
- Applying data classification and handling rules
- Assessing privacy risk through data protection impact assessments
- Assessing lawful basis, purpose compatibility and minimisation for data reuse
- Designing testable data controls
- Controlling disclosure risk in shared data and outputs
- Recognising and containing suspected personal data breaches
- Resolving consent and suppression status across systems
- Mapping personal data processing and flows
- Interpreting policy scope and delegated authority limits
- Building data protection by design into data products and pipelines
- Evaluating and improving chart accessibility
- Writing verifiable requirements and acceptance criteria
- Influencing change without formal authority
- Designing implementable change plans
- Writing testable work standards and review checklists
Paths that teach the skills it needs
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
Skill Path
Privacy, Security and Access for Data and AI
Protect personal data and access with impact assessments and incident evidence.
- Modules
- 5 open
- Practice data
- Raket Parts