Explore Tasks
Lead an incident through containment, restoration and communication
Stakeholders receive a contained and restored service, timely communication and a post-incident review.
9jobs do it
2jobs help with it
53skills it needs
- Data Engineer
- Machine Learning Engineer
- AI Engineer
- Lead Data Engineer
- Lead AI & ML Engineer
- Platform Engineer
- Cloud & Infrastructure Engineer
- Database Administrator
- Lead Engineer
- Engineering Manager
- Head of Engineering
Does itHelps with it
- Reading and tracing unfamiliar code
- Understanding and interrogating data and application APIs
- Debugging data and application services from evidence
- Monitoring data quality and freshness in production
- Investigating anomalies
- Diagnosing and remedying query and database performance
- Identifying keys and testing referential integrity
- Recovering data pipelines safely
- Recognising and containing suspected personal data breaches
- Testing competing explanations with discriminating evidence
- Running incident command: severity, timeline and status updates
- Recognising statutory incident reporting duties and deadlines
- Estimating quantities and differences with intervals
- Judging whether a change exceeds normal variation
- Recognising misleading numerical claims
- Interpreting correlation without inferring cause
- Reading charts and dashboards correctly, including their state
- Selecting charts for evidence and decisions
- Constructing clear and honest charts
- Evaluating and improving chart accessibility
- Writing evidence-led findings and auditable recommendations with their limits
- Communicating quantified uncertainty
- Presenting and defending evidence-based recommendations to decision-makers
- Diagnosing misleading data visualisations
- Building decision-focused reports and dashboards
- Disclosing AI contribution to professional work
- Explaining technical work to accountable non-specialists
- Communicating sensitive or unwelcome analytical findings
- Judging whether uncertainty changes the decision
- Recognising and resolving ethical conflicts in data and AI work
- Gating releases on evidence with rollback ready
- Assessing data-service continuity and recoverability
- Testing changes to data services and business systems for business meaning and downstream impact
- Planning and validating controlled data migrations
- Escalating unresolved risks with evidence and clear ownership
- Coordinating accountable handoffs between teams
- Facilitating evidence-led retrospectives and corrective actions
- Mapping proposed process changes and control impacts
- Rating risks against appetite and choosing proportionate treatment
- Assessing change risk, collisions and go or no-go
- Interpreting policy scope and delegated authority limits
- Identifying and quantifying decision downside and exposure
- Making accountable decisions under uncertainty
- Revising prior decisions when evidence changes
- Reasoning about systems, feedback and second-order effects
- Independently checking analytical conclusions and claims
- Facilitating group decisions using disputed evidence
- Classifying AI uses against regulatory obligations
- Analysing error patterns and failure modes in models and AI systems
- Recognising personal data and privacy duties
- Applying data classification and handling rules
- Recognising cybersecurity threats to data work
- Preserving incident evidence and timeline
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
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
Skill Path
Data Visualisation and Dashboard Design
Design honest, accessible charts and decision-useful dashboards and verify them before release.
- Modules
- 5 open
- Practice data
- Raket Parts
Coming soonData Product Reliability: Release Gates, Service Levels and Incidents