Explore Tasks
Define and govern a KPI metric contract
Business owners receive an agreed metric definition (grain, filters, owner, change process) that reports must implement.
8jobs do it
24jobs help with it
38skills it needs
- Analytics Lead
- Product Analyst
- Data Product Manager
- Sales Operations Analyst
- Revenue Operations Lead
- Pricing Lead
- Lead Business Analyst
- Continuous Improvement Manager
- Data Analyst
- BI Developer
- Analytics Engineer
- Data Steward
- Lead Analytics Engineer
- People Analyst
- Head of Marketing
- Product Manager
- Group Product Manager
- Group Data Product Manager
- Head of Product
- Product Director
- Revenue Operations Manager
- Head of Sales
- Chief Revenue Officer
- Operations Manager
- Head of Operations
- Operations Director
- Chief Operating Officer
- Business Analyst
- Business Analysis Manager
- Head of Revenue Operations
- Head of Business Analysis
- Head of Customer Success
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
- Diagnosing data quality exceptions
- Validating records by matching, recomputation and end-to-end tracing
- Repairing data defects reversibly under owner authority
- Investigating anomalies
- Diagnosing operational handoffs and flow
- Designing efficient and reproducible investigations
- Influencing change without formal authority
- Working through stakeholder conflict over evidence and responsibility
- Facilitating evidence-led retrospectives and corrective actions
- Recognising statutory incident reporting duties and deadlines
Paths that teach the skills it needs
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
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