Commercial Manager
Accountable for a commercial team serving one business unit and for the terms and pricing it applies there.
5tasks in this job
48skills it uses
5tools named
The skills this job leans on most
- 1Testing investment business cases under uncertaintyNeeded in 4 of 5 tasks
- 2Appraising options on a common incremental basis against a do-nothing baselineNeeded in 2 of 5 tasks
- 3Running sensitivity and break-even analysis on model assumptionsCore to this role
ToolsMicrosoft ExcelMicrosoft Power BISAP S/4HANAPROS PricingMicrosoft PowerPoint
All 5 tasks, where people get stuck and all 48 skills
Tasks
- Investigate variance of actuals against budget or forecast
- Evaluate a pricing change
- Build a defensible business case
- Produce an accountable operating budget
- Set discount guardrails and review price realisation and exceptions
Where people get stuck
- Analysing costs, allocation and margin drivers
- Analysing price realisation from list to pocket price
- Comparing pricing scenarios with demand and margin sensitivity
All skills
- Appraising options on a common incremental basis against a do-nothing baseline
- Testing investment business cases under uncertainty
- Analysing business drivers and contributions
- Analysing costs, allocation and margin drivers
- Analysing pay equity with raw and adjusted pay gaps
- Analysing price realisation from list to pocket price
- Analysing working-capital drivers and cash conversion
- Building driver-based financial forecasts
- Communicating quantified uncertainty
- Comparing options against explicit decision criteria
- Comparing periods consistently
- Comparing pricing scenarios with demand and margin sensitivity
- Constructing a controlled cash-flow plan
- Defining measurable outcomes and leading indicators
- Designing and comparing decision scenarios
- Designing auditable decision models
- Diagnosing forecast accuracy and bias and comparing methods fairly
- Diagnosing misleading data visualisations
- Disclosing AI contribution to professional work
- Eliciting the decision behind an analytical request
- Escalating unresolved risks with evidence and clear ownership
- Estimating and challenging causal effects
- Estimating quantities and differences with intervals
- Explaining how business events flow into accounting records
- Forecasting business trends and turning points for planning
- Giving specific developmental feedback on data and AI work
- Identifying and quantifying decision downside and exposure
- Independently checking analytical conclusions and claims
- Interpreting averages, weighted measures and mix effects
- Interpreting budgets and planning assumptions
- Interpreting trends and seasonality
- Interpreting workforce metrics and populations
- Judging the materiality of defects and deficiencies for the intended use
- Judging whether a change exceeds normal variation
- Judging whether external evidence applies to the decision context
- Making accountable decisions under uncertainty
- Monitoring and testing data control effectiveness
- Presenting and defending evidence-based recommendations to decision-makers
- Prioritising work by evidenced value, cost, risk and confidence
- Reading business metrics
- Reasoning about systems, feedback and second-order effects
- Testing competing explanations with discriminating evidence
- Testing, implementing and sustaining measured improvements
- Variance analysis
- Verifying AI-assisted outputs against sources
- Verifying benefits realisation and attribution
- Verifying reports and dashboards before and after release
- Writing evidence-led findings and auditable recommendations with their limits
Paths to start
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
KPI, Variance and Performance Analysis
Explain performance against plan with variance decomposition and driver trees.
- Modules
- 5 open
- Practice data
- Raket Parts
Coming soonFinancial Modelling and Decision Support
5tasks in this job
50skills it uses
6tools named
The skills this job leans on most
- 1Analysing costs, allocation and margin driversNeeded in 5 of 5 tasks
- 2Testing investment business cases under uncertaintyNeeded in 4 of 5 tasks
- 3Analysing price realisation from list to pocket priceNeeded in 2 of 5 tasks
- 4Comparing pricing scenarios with demand and margin sensitivityNeeded in 2 of 5 tasks
- 5Appraising options on a common incremental basis against a do-nothing baselineNeeded in 2 of 5 tasks
ToolsMicrosoft ExcelMicrosoft Power BISAP S/4HANAPROS PricingMicrosoft PowerPointPower Automate
All 5 tasks, where people get stuck and all 50 skills
Tasks
- Investigate variance of actuals against budget or forecast
- Evaluate a pricing change
- Build a defensible business case
- Produce an accountable operating budget
- Set discount guardrails and review price realisation and exceptions
Where people get stuck
All skills
- Analysing costs, allocation and margin drivers
- Analysing price realisation from list to pocket price
- Appraising options on a common incremental basis against a do-nothing baseline
- Comparing pricing scenarios with demand and margin sensitivity
- Testing investment business cases under uncertainty
- Analysing business drivers and contributions
- Analysing pay equity with raw and adjusted pay gaps
- Analysing working-capital drivers and cash conversion
- Building driver-based financial forecasts
- Communicating quantified uncertainty
- Comparing options against explicit decision criteria
- Comparing periods consistently
- Constructing a controlled cash-flow plan
- Defining measurable outcomes and leading indicators
- Designing and comparing decision scenarios
- Designing auditable decision models
- Diagnosing forecast accuracy and bias and comparing methods fairly
- Diagnosing misleading data visualisations
- Disclosing AI contribution to professional work
- Eliciting the decision behind an analytical request
- Escalating unresolved risks with evidence and clear ownership
- Estimating and challenging causal effects
- Estimating quantities and differences with intervals
- Explaining how business events flow into accounting records
- Forecasting business trends and turning points for planning
- Giving specific developmental feedback on data and AI work
- Identifying and quantifying decision downside and exposure
- Independently checking analytical conclusions and claims
- Interpreting averages, weighted measures and mix effects
- Interpreting budgets and planning assumptions
- Interpreting policy scope and delegated authority limits
- Interpreting trends and seasonality
- Interpreting workforce metrics and populations
- Judging the materiality of defects and deficiencies for the intended use
- Judging whether a change exceeds normal variation
- Judging whether external evidence applies to the decision context
- Making accountable decisions under uncertainty
- Monitoring and testing data control effectiveness
- Presenting and defending evidence-based recommendations to decision-makers
- Prioritising work by evidenced value, cost, risk and confidence
- Reading business metrics
- Reasoning about systems, feedback and second-order effects
- Sampling and reviewing a team's work against standards
- Testing competing explanations with discriminating evidence
- Testing, implementing and sustaining measured improvements
- Variance analysis
- Verifying AI-assisted outputs against sources
- Verifying benefits realisation and attribution
- Verifying reports and dashboards before and after release
- Writing evidence-led findings and auditable recommendations with their limits
Paths to start
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
Excel for Analysis and Decision Models
Build and check Excel workbooks others can trust.
- Modules
- 5 open
- Runs in
- Your browser
Skill Path
Customer, Revenue and Sales Analytics
Analyse pipeline, forecast quality, segments and lifetime value from CRM and billing data.
- Modules
- 5 open
- Practice data
- Raket Parts
Coming soonFinancial Modelling and Decision Support
4tasks in this job
50skills it uses
6tools named
The skills this job leans on most
- 1Analysing costs, allocation and margin driversNeeded in 4 of 4 tasks
- 2Testing investment business cases under uncertaintyNeeded in 3 of 4 tasks
- 3Analysing price realisation from list to pocket priceNeeded in 2 of 4 tasks
- 4Comparing pricing scenarios with demand and margin sensitivityNeeded in 2 of 4 tasks
- 5Appraising options on a common incremental basis against a do-nothing baselineNeeded in 2 of 4 tasks
ToolsMicrosoft ExcelMicrosoft Power BISAP S/4HANAPROS PricingMicrosoft PowerPointPower Automate
All 4 tasks, where people get stuck and all 50 skills
Tasks
- Investigate variance of actuals against budget or forecast
- Evaluate a pricing change
- Build a defensible business case
- Set discount guardrails and review price realisation and exceptions
Where people get stuck
All skills
- Analysing costs, allocation and margin drivers
- Analysing price realisation from list to pocket price
- Appraising options on a common incremental basis against a do-nothing baseline
- Comparing pricing scenarios with demand and margin sensitivity
- Testing investment business cases under uncertainty
- Analysing business drivers and contributions
- Analysing pay equity with raw and adjusted pay gaps
- Analysing working-capital drivers and cash conversion
- Building driver-based financial forecasts
- Communicating quantified uncertainty
- Comparing options against explicit decision criteria
- Comparing periods consistently
- Constructing a controlled cash-flow plan
- Defining measurable outcomes and leading indicators
- Designing and comparing decision scenarios
- Designing auditable decision models
- Diagnosing forecast accuracy and bias and comparing methods fairly
- Diagnosing misleading data visualisations
- Disclosing AI contribution to professional work
- Eliciting the decision behind an analytical request
- Escalating unresolved risks with evidence and clear ownership
- Estimating and challenging causal effects
- Estimating quantities and differences with intervals
- Explaining how business events flow into accounting records
- Forecasting business trends and turning points for planning
- Giving specific developmental feedback on data and AI work
- Identifying and quantifying decision downside and exposure
- Independently checking analytical conclusions and claims
- Interpreting averages, weighted measures and mix effects
- Interpreting budgets and planning assumptions
- Interpreting policy scope and delegated authority limits
- Interpreting trends and seasonality
- Interpreting workforce metrics and populations
- Judging the materiality of defects and deficiencies for the intended use
- Judging whether a change exceeds normal variation
- Judging whether external evidence applies to the decision context
- Making accountable decisions under uncertainty
- Monitoring and testing data control effectiveness
- Presenting and defending evidence-based recommendations to decision-makers
- Prioritising work by evidenced value, cost, risk and confidence
- Reading business metrics
- Reasoning about systems, feedback and second-order effects
- Sampling and reviewing a team's work against standards
- Testing competing explanations with discriminating evidence
- Testing, implementing and sustaining measured improvements
- Variance analysis
- Verifying AI-assisted outputs against sources
- Verifying benefits realisation and attribution
- Verifying reports and dashboards before and after release
- Writing evidence-led findings and auditable recommendations with their limits
Paths to start
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
Excel for Analysis and Decision Models
Build and check Excel workbooks others can trust.
- Modules
- 5 open
- Runs in
- Your browser
Skill Path
Customer, Revenue and Sales Analytics
Analyse pipeline, forecast quality, segments and lifetime value from CRM and billing data.
- Modules
- 5 open
- Practice data
- Raket Parts
Coming soonFinancial Modelling and Decision Support
About the role
Accountable for a commercial team serving one business unit and for the terms and pricing it applies there. Manages the team and approves business cases and price exceptions within commercial policy. Data judgement sits in reading margin evidence and deciding when a deal's terms are worth the risk.