“Analytical skills” is broad. A stronger description identifies the actual capability, such as data analysis, critical thinking, problem-solving, interpretation, evaluation, or quantitative reasoning.
Name the Type of Analysis You Can Do
- Critical thinking
- Data analysis
- Problem-solving
- Quantitative analysis
- Qualitative analysis
- Research skills
- Evaluation
- Interpretation of data
- Logical reasoning
- Diagnostic thinking
- Evidence-based decision-making
Critical thinking
Best when you assess claims, evidence, assumptions, and competing explanations.
Example: Used critical thinking to evaluate conflicting supplier proposals.
Data analysis
Use when the work involves examining datasets to identify patterns or findings.
Example: Conducted data analysis in Excel and Power BI to track customer trends.
Problem-solving
A broad practical skill for identifying causes and developing solutions.
Example: Applied problem-solving to reduce processing delays by 20%.
Quantitative analysis
Best for numerical, statistical, or financial analysis.
Example: Performed quantitative analysis of monthly sales performance.
Qualitative analysis
Use for interpreting non-numerical information such as interviews, text, or feedback.
Example: Conducted qualitative analysis of 40 stakeholder interviews.
Research skills
Useful when analysis is part of gathering, evaluating, and synthesizing evidence.
Example: Used research skills to produce evidence briefings for senior managers.
Evaluation
Best when judging quality, effectiveness, options, or outcomes against criteria.
Example: Led evaluation of the pilot programme against agreed outcomes.
Interpretation of data
A clear phrase when drawing meaning from results is central.
Example: Provided interpretation of data for monthly board reports.
Logical reasoning
Highlights structured reasoning and drawing sound conclusions.
Example: Used logical reasoning to identify inconsistencies in the workflow.
Diagnostic thinking
Best when identifying underlying causes of problems or faults.
Example: Applied diagnostic thinking to resolve recurring system failures.
Evidence-based decision-making
Useful when analysis directly informs choices or recommendations.
Example: Supported evidence-based decision-making through concise performance dashboards.