Job Description
We are sharing a specialised part-time consulting opportunity for data analysis and quantitative reporting professionals experienced in reviewing analytical documents, spreadsheets, slide decks, statistical summaries, KPI readouts, data visualizations, quantitative findings, and presentation-ready business artifacts for accuracy, rigor, clarity, and domain quality. This role supports current and upcoming remote consulting opportunities focused on data analysis artifact review, quantitative readout evaluation, rubric-based assessment, spreadsheet and slide deck quality review, structured feedback, and high-quality project execution. Selected professionals will evaluate AI-generated work products and apply subject-matter expertise to identify factual, analytical, aesthetic, and presentation issues. Key Responsibilities Professionals in this role may contribute to: Data Analysis Artifact Review Evaluate AI-generated documents, spreadsheets, and slide decks involving data analysis, quantitative summaries, KPI readouts, statistical findings, business metrics, and analytical recommendations Review analytical materials for accuracy, completeness, rigor, clarity, and practical relevance Assess whether findings are supported by appropriate calculations, evidence, assumptions, and interpretation Identify inaccurate conclusions, weak methodology, unclear metrics, incomplete context, or poor linkage between data and recommendations Quantitative Logic & Reporting Evaluation Review materials involving metric definitions, calculations, trends, segmentation, comparisons, outliers, sample sizes, assumptions, and analytical framing Assess whether quantitative readouts are logically structured, easy to interpret, and aligned with the stated business or research context Evaluate charts, tables, summaries, and narrative insights for clarity, accuracy, and analytical rigor Provide clear written feedback that improves the quality of quantitative analysis and reporting materials Spreadshee
