Explore Tasks
Set and maintain working standards for a team's analytical, reporting and modelling work products
The team and its reviewers receive agreed conventions for queries, models, reports, research or planning models (naming, validation, documentation, assumption records and release criteria), applied and checked in review.
4jobs do it
8jobs help with it
27skills it needs
- Analytics Lead
- Lead Data Scientist
- FP&A Lead
- Lead Customer Insight Analyst
- Data Analyst
- BI Developer
- Data Scientist
- Analytics Manager
- FP&A Analyst
- FP&A Manager
- Customer Insight Analyst
- Insight Manager
Does itHelps with it
- Sampling and reviewing a team's work against standards
- Classifying AI uses against regulatory obligations
- Governing shared data definitions
- Enforcing and auditing data access
- Judging whether and how to use AI for a task
- Applying data classification and handling rules
- Assigning and operating data ownership and stewardship
- Designing enforceable data governance policies
- Mapping stakeholders' decisions, constraints and needs
- Working through stakeholder conflict over evidence and responsibility
- Identifying and prioritising critical data elements
- Designing decision rights and dispute routes for data and AI work
- Building data protection by design into data products and pipelines
- Writing evidence-led findings and auditable recommendations with their limits
- Making accountable decisions under uncertainty
- Escalating unresolved risks with evidence and clear ownership
- Interpreting policy scope and delegated authority limits
- Reviewing human- and AI-generated code changes for correctness and risk
- Evaluating and improving chart accessibility
- Controlling disclosure risk in shared data and outputs
- Writing verifiable requirements and acceptance criteria
- Testing competing explanations with discriminating evidence
- Influencing change without formal authority
- Giving specific developmental feedback on data and AI work
- Designing implementable change plans
- Judging the materiality of defects and deficiencies for the intended use
- Writing testable work standards and review checklists
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 Governance, Catalogues and Lineage
Govern definitions, stewardship, lineage and enforceable policy.
- Modules
- 5 open
- Practice data
- Raket Parts
Skill Path
Leading Analytics and AI Change
Lead adoption, diagnose learning needs, coach and assure team capability.
- Modules
- 5 open
- Practice data
- Raket Parts