Explore Tasks
Deliver and sustain a trusted BI report or dashboard
Consumers receive a verified report or dashboard implementing agreed metrics, with ownership and refresh controls.
11jobs do it
6jobs help with it
40skills it needs
- BI Developer
- People Analyst
- Marketing Analyst
- Customer Insight Analyst
- Marketing Executive
- Product Analyst
- Sales Operations Analyst
- Revenue Operations Lead
- Operations Analyst
- Finance Systems Analyst
- HRIS Analyst
- Data Analyst
- Analytics Lead
- Analytics Manager
- Lead Customer Insight Analyst
- Revenue Operations Manager
- Head of Revenue Operations
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
- Setting and reviewing reliability objectives and error budgets for data and AI services
- Establishing and declaring data grain
- Reading business metrics
- Governing shared data definitions
- Writing data quality rules
- Reconciling conflicting reports
- Tracing data lineage upstream and downstream
- Calculating and verifying KPIs against their specification
- Specifying decision-useful reports
- Specifying BI measure semantics: additivity, aggregation and time
- Designing semantic models for governed analytics
- Identifying keys and testing referential integrity
- Designing dimensional models with explicit grain
- Designing and versioning data contracts for consumers
- Assigning and operating data ownership and stewardship
- Mapping stakeholders' decisions, constraints and needs
- 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
- Standardising and cleaning data under agreed rules
- Monitoring data quality and freshness in production
- Building decision-focused reports and dashboards
- Designing relational schemas: keys, constraints and normalisation
- 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
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
Coming soonAnalytics Engineering: Tested, Version-controlled Transformation