We are sharing a specialised part-time consulting opportunity for experienced data analysis and quantitative professionals with strong expertise in interpreting data, reviewing quantitative results, developing analytical readouts, and communicating data-driven findings.
This role focuses on reviewing professional documents, spreadsheets, and presentation materials related to data analysis and quantitative reporting. Selected experts will assess outputs for numerical accuracy, analytical rigour, interpretation quality, internal consistency, presentation effectiveness, and overall professional credibility.
Key Responsibilities
Data Analysis
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Evaluate analytical work products for accuracy, completeness, and professional quality
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Review quantitative findings, calculations, assumptions, and interpretations
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Assess whether conclusions are appropriately supported by the underlying data
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Identify analytical errors, unsupported claims, and inconsistencies
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Apply professional judgement grounded in real-world data analysis experience
Quantitative Readouts & Reporting
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Review quantitative readouts, analytical summaries, and performance reports
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Assess whether key findings are presented accurately and with appropriate context
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Evaluate the relationship between reported metrics and stated conclusions
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Identify misleading interpretations, missing information, or inappropriate comparisons
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Review whether quantitative findings are communicated clearly to intended audiences
Metrics & Performance Analysis
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Evaluate analyses involving metrics, trends, comparisons, and performance indicators
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Assess whether selected measures appropriately address the underlying question
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Review calculations and interpretations for logical consistency
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Identify discrepancies between source data and reported results
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Evaluate whether analytical conclusions are proportionate to the available evidence
Spreadsheet & Quantitative Review
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Evaluate spreadsheets supporting analytical and reporting work
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Review formulas, calculations, assumptions, tables, and quantitative outputs
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Identify mathematical, logical, or consistency errors
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Assess whether spreadsheet results support stated findings
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Review organisation, readability, and usability of quanti