Explore Tasks
Deliver a tested software or API change to a data or AI service
A service owner receives a reviewed, tested change with data-integrity checks and rollback.
3jobs do it
2jobs help with it
31skills it needs
Does itHelps with it
- Understanding and interrogating data and application APIs
- Writing maintainable code for analytical and data work
- Debugging data and application services from evidence
- Reviewing human- and AI-generated code changes for correctness and risk
- Building bounded, secure data-service APIs
- Gating releases on evidence with rollback ready
- Tracing data lineage upstream and downstream
- Repairing data defects reversibly under owner authority
- Diagnosing and remedying query and database performance
- Identifying keys and testing referential integrity
- Designing relational schemas: keys, constraints and normalisation
- Testing changes to data services and business systems for business meaning and downstream impact
- Enforcing and auditing data access
- Planning and validating controlled data migrations
- Writing verifiable requirements and acceptance criteria
- Preparing change records with impact assessment and rollback
- Building data protection by design into data products and pipelines
- Reading and tracing unfamiliar code
- 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
- Writing evidence-led findings and auditable recommendations with their limits
- Making accountable decisions under uncertainty
- Interpreting policy scope and delegated authority limits
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
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