Explore Tasks
Diagnose a data pipeline failure and recover safely
Data consumers receive restored, verified data with root cause, blast radius and a recurrence control.
5jobs do it
1job helps with it
36skills it needs
- Analytics Engineer
- Data Engineer
- Lead Data Engineer
- Finance Systems Analyst
- HRIS Analyst
- Platform Engineer
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
- Writing maintainable code for analytical and data work
- Gating releases on evidence with rollback ready
- Designing automated pipelines and processes that fail safely and recover
- Establishing and declaring data grain
- Standardising and cleaning data under agreed rules
- Tracing data lineage upstream and downstream
- Monitoring data quality and freshness in production
- Building decision-focused reports and dashboards
- Designing semantic models for governed analytics
- Identifying keys and testing referential integrity
- Designing relational schemas: keys, constraints and normalisation
- Designing dimensional models with explicit grain
- Testing changes to data services and business systems for business meaning and downstream impact
- Designing and validating batch and streaming ingestion
- Engineering production data transformations
- Recovering data pipelines safely
- Building data protection by design into data products and pipelines
- Understanding and interrogating data and application APIs
- Debugging data and application services from evidence
- Investigating anomalies
- Diagnosing and remedying query and database performance
- Recognising and containing suspected personal data breaches
- Running incident command: severity, timeline and status updates
- Recognising statutory incident reporting duties and deadlines
Paths that teach the skills it needs
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 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
Coming soonAnalytics Engineering: Tested, Version-controlled TransformationData Product Reliability: Release Gates, Service Levels and Incidents