Roles Strategy & Transformation
Strategy Analyst
Accountable for evaluating strategic options with evidence and briefing decision-makers on assumptions and sensitivity.
3tasks in this job
31skills it uses
5tools named
The skills this job leans on most
- 1Judging whether external evidence applies to the decision contextNeeded in 2 of 3 tasks
- 2Reasoning about systems, feedback and second-order effectsNeeded in 2 of 3 tasks
- 3Comparing options against explicit decision criteriaNeeded in 1 of 3 tasks
ToolsMicrosoft ExcelMicrosoft PowerPointAnaplanPower QueryMicrosoft Power BIQlik SenseNielsenIQ (incl. GfK)ChatGPT
All 3 tasks, where people get stuck and all 31 skills
Tasks
- Evaluate strategic options with market and performance evidence
- Answer a commissioned business question with reproducible query-based analysis
- Size a market and assess the competitive landscape
Where people get stuck
- Estimating market size by triangulating top-down and bottom-up methods
- Mapping competitor positions from external evidence
All skills
- Comparing options against explicit decision criteria
- Judging whether external evidence applies to the decision context
- Analysing event sequences, states and durations
- Appraising options on a common incremental basis against a do-nothing baseline
- Assessing data source credibility and fitness for a question
- Calculating and interpreting percentages, rates and ratios
- Choosing and justifying missing-data treatments
- Communicating quantified uncertainty
- Comparing groups
- Decomposing one's own tasks for AI assistance
- Describing distributions with summaries and plots
- Designing and comparing decision scenarios
- Designing and interpreting hypothesis tests
- Designing efficient and reproducible investigations
- Diagnosing incorrect query and calculation results
- Eliciting the decision behind an analytical request
- Estimating quantities and differences with intervals
- Exploring data to find patterns that survive validation
- Identifying and quantifying decision downside and exposure
- Investigating anomalies
- Judging whether a change exceeds normal variation
- Mapping competitor positions from external evidence
- Presenting and defending evidence-based recommendations to decision-makers
- Profiling data
- Reading charts and dashboards correctly, including their state
- Running sensitivity and break-even analysis on model assumptions
- Selecting charts for evidence and decisions
- Standardising and cleaning data under agreed rules
- Structuring ambiguous professional problems
- Testing competing explanations with discriminating evidence
- 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
Exploratory Data Analysis and Pattern Discovery
Describe a distribution honestly and decide which unusual records need checking before anyone acts.
- 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
5tasks in this job
49skills it uses
8tools named
The skills this job leans on most
- 1Reasoning about systems, feedback and second-order effectsNeeded in 4 of 5 tasks
- 2Judging whether external evidence applies to the decision contextNeeded in 3 of 5 tasks
- 3Comparing options against explicit decision criteriaNeeded in 2 of 5 tasks
- 4Estimating market size by triangulating top-down and bottom-up methodsNeeded in 2 of 5 tasks
- 5Mapping competitor positions from external evidenceNeeded in 2 of 5 tasks
ToolsMicrosoft ExcelMicrosoft PowerPointAnaplanPower QueryMicrosoft Power BIQlik Sense+ 2 more
All 5 tasks, where people get stuck and all 49 skills
Tasks
- Evaluate strategic options with market and performance evidence
- Build a defensible business case
- Answer a commissioned business question with reproducible query-based analysis
- Size a market and assess the competitive landscape
- Translate a strategic choice into measurable objectives and targets and track strategic KPIs through the planning cycle
Where people get stuck
- Testing investment business cases under uncertainty
- Appraising options on a common incremental basis against a do-nothing baseline
- Running sensitivity and break-even analysis on model assumptions
All skills
- Comparing options against explicit decision criteria
- Estimating market size by triangulating top-down and bottom-up methods
- Judging whether external evidence applies to the decision context
- Mapping competitor positions from external evidence
- Reasoning about systems, feedback and second-order effects
- Analysing event sequences, states and durations
- Appraising options on a common incremental basis against a do-nothing baseline
- Assessing data source credibility and fitness for a question
- Calculating and interpreting percentages, rates and ratios
- Choosing an analytical method to fit the question and data
- Choosing and justifying missing-data treatments
- Combining tables safely: cardinality, fan-out and conservation of totals
- Communicating quantified uncertainty
- Comparing groups
- Comparing periods consistently
- Decomposing one's own tasks for AI assistance
- Defining the analysis population: filters, nulls, dates and time zones
- Describing distributions with summaries and plots
- Designing and comparing decision scenarios
- Designing and interpreting hypothesis tests
- Designing efficient and reproducible investigations
- Diagnosing incorrect query and calculation results
- Eliciting the decision behind an analytical request
- Establishing and declaring data grain
- Estimating quantities and differences with intervals
- Explaining how business events flow into accounting records
- Exploring data to find patterns that survive validation
- Fitting, checking and interpreting inferential regression models
- Formulating answerable data questions
- Identifying and quantifying decision downside and exposure
- Interpreting averages, weighted measures and mix effects
- Interpreting trends and seasonality
- Investigating anomalies
- Judging whether a change exceeds normal variation
- Making accountable decisions under uncertainty
- Preparing analysis-ready datasets reproducibly
- Presenting and defending evidence-based recommendations to decision-makers
- Prioritising work by evidenced value, cost, risk and confidence
- Profiling data
- Reading business metrics
- Reading charts and dashboards correctly, including their state
- Running sensitivity and break-even analysis on model assumptions
- Selecting charts for evidence and decisions
- Standardising and cleaning data under agreed rules
- Structuring ambiguous professional problems
- Testing competing explanations with discriminating evidence
- Testing investment business cases under uncertainty
- Training reproducible machine learning models
- 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
Exploratory Data Analysis and Pattern Discovery
Describe a distribution honestly and decide which unusual records need checking before anyone acts.
- 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
5tasks in this job
74skills it uses
9tools named
The skills this job leans on most
- 1Reasoning about systems, feedback and second-order effectsNeeded in 4 of 5 tasks
- 2Testing investment business cases under uncertaintyNeeded in 3 of 5 tasks
- 3Judging whether external evidence applies to the decision contextNeeded in 3 of 5 tasks
- 4Comparing options against explicit decision criteriaNeeded in 2 of 5 tasks
- 5Appraising options on a common incremental basis against a do-nothing baselineNeeded in 2 of 5 tasks
ToolsMicrosoft ExcelMicrosoft PowerPointAnaplanMicrosoft Power BIMicrosoft PurviewQlik Sense+ 3 more
All 5 tasks, where people get stuck and all 74 skills
Tasks
- Evaluate strategic options with market and performance evidence
- Build a defensible business case
- Answer a commissioned business question with reproducible query-based analysis
- Size a market and assess the competitive landscape
- Translate a strategic choice into measurable objectives and targets and track strategic KPIs through the planning cycle
Where people get stuck
- Judging whether external evidence applies to the decision context
- Reasoning about systems, feedback and second-order effects
All skills
- Appraising options on a common incremental basis against a do-nothing baseline
- Comparing options against explicit decision criteria
- Judging whether external evidence applies to the decision context
- Reasoning about systems, feedback and second-order effects
- Testing investment business cases under uncertainty
- Analysing business drivers and contributions
- Analysing costs, allocation and margin drivers
- Analysing event sequences, states and durations
- Analysing pay equity with raw and adjusted pay gaps
- Analysing working-capital drivers and cash conversion
- Assessing data source credibility and fitness for a question
- Building driver-based financial forecasts
- Calculating and interpreting percentages, rates and ratios
- Choosing an analytical method to fit the question and data
- Choosing and justifying missing-data treatments
- Combining tables safely: cardinality, fan-out and conservation of totals
- Communicating quantified uncertainty
- Comparing groups
- Comparing periods consistently
- Constructing a controlled cash-flow plan
- Decomposing one's own tasks for AI assistance
- Defining measurable outcomes and leading indicators
- Defining the analysis population: filters, nulls, dates and time zones
- Describing distributions with summaries and plots
- Designing and comparing decision scenarios
- Designing and interpreting hypothesis tests
- Designing auditable decision models
- Designing efficient and reproducible investigations
- Diagnosing forecast accuracy and bias and comparing methods fairly
- Diagnosing incorrect query and calculation results
- 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
- Establishing and declaring data grain
- Estimating and challenging causal effects
- Estimating market size by triangulating top-down and bottom-up methods
- Estimating quantities and differences with intervals
- Explaining how business events flow into accounting records
- Exploring data to find patterns that survive validation
- Fitting, checking and interpreting inferential regression models
- Forecasting business trends and turning points for planning
- Formulating answerable data questions
- 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
- Investigating anomalies
- Judging the materiality of defects and deficiencies for the intended use
- Judging whether a change exceeds normal variation
- Making accountable decisions under uncertainty
- Mapping competitor positions from external evidence
- Preparing analysis-ready datasets reproducibly
- Presenting and defending evidence-based recommendations to decision-makers
- Prioritising work by evidenced value, cost, risk and confidence
- Profiling data
- Reading business metrics
- Reading charts and dashboards correctly, including their state
- Running sensitivity and break-even analysis on model assumptions
- Sampling and reviewing a team's work against standards
- Selecting charts for evidence and decisions
- Standardising and cleaning data under agreed rules
- Structuring ambiguous professional problems
- Testing competing explanations with discriminating evidence
- Testing, implementing and sustaining measured improvements
- Training reproducible machine learning models
- 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
All tools
- Microsoft Excel
- Microsoft PowerPoint
- Anaplan
- Microsoft Power BI
- Microsoft Purview
- Qlik Sense
- NielsenIQ (incl. GfK)
- ChatGPT
- Power Query
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
Exploratory Data Analysis and Pattern Discovery
Describe a distribution honestly and decide which unusual records need checking before anyone acts.
- 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
About the role
Accountable for evaluating strategic options with evidence and briefing decision-makers on assumptions and sensitivity. Delivers market and financial analyses, option comparisons and decision briefs. Data judgement sits in testing assumptions, sizing uncertainty and saying clearly what the evidence cannot support.