Explore Tasks
Consolidate entity results into group accounts and decide which entity data the group relies on
The Group Financial Controller receives consolidated results with entity submissions approved, mappings and intercompany balances reconciled and eliminated, and exceptions resolved or accepted.
1job does it
2jobs help with it
45skills it needs
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
- Designing and validating digital analytics event measurement
- Reading data tables: rows, fields, types and units
- Establishing and declaring data grain
- Combining tables safely: cardinality, fan-out and conservation of totals
- Reading business metrics
- Comparing periods consistently
- Assessing data source credibility and fitness for a question
- Diagnosing data quality exceptions
- Validating records by matching, recomputation and end-to-end tracing
- Reconciling conflicting reports
- Tracing data lineage upstream and downstream
- Calculating and verifying KPIs against their specification
- Assigning and operating data ownership and stewardship
- Reconciling finance subledgers and close records
- Investigating procurement spend leakage and duplicate commitments
- Explaining how business events flow into accounting records
- 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
- Facilitating group decisions using disputed evidence
- Rating risks against appetite and choosing proportionate treatment
- Recognising and resolving ethical conflicts in data and AI work
- Writing evidence-led findings and auditable recommendations with their limits
- Presenting and defending evidence-based recommendations to decision-makers
- Interpreting financial statements and ratios for decisions
- Analysing costs, allocation and margin drivers
- Estimating accruals, provisions and expected credit loss under accounting policy
- Mapping entity results and eliminating intercompany balances in consolidation
- Running sensitivity and break-even analysis on model assumptions
- Assessing the control and reliability of end-user calculation files
- Monitoring and testing data control effectiveness
- Interpreting sustainability reporting standards and metric boundaries
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