Remote | Data Analysis & Quantitative Evaluation Consultant — $70–$110/hour

24-Mag•New York, NY

17h•Remote

About The Position

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.

Requirements

5+ years of relevant professional experience in data analysis, quantitative reporting, analytics, business intelligence, statistics, performance reporting, research analytics, product analytics, finance analytics, or related work.
Native or professional fluency in English.
High proficiency in Microsoft Office and Google Workspace.
Strong experience with Google Slides, PowerPoint, Excel, Google Sheets, Word, and Google Docs.
Ability to evaluate documents, spreadsheets, and slide decks with strong attention to detail.
Excellent written communication skills and ability to provide structured feedback.
Ability to work independently in a remote, project-based environment.

Nice To Haves

Master's degree or higher in a relevant field.
Experience with Excel, Google Sheets, SQL, Python, R, Power BI, Tableau, Looker, or comparable analytics tools.
Experience creating or reviewing quantitative readouts, KPI summaries, statistical reports, business dashboards, experiment results, survey analyses, or executive presentations.
Familiarity with data visualization principles, statistical reasoning, metric definitions, trend analysis, A/B testing, or research reporting.
Strong ability to evaluate both analytical substance and visual/presentation quality.

Responsibilities

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.
Spreadsheet, Document & Presentation Quality Review: Review spreadsheets for structure, logic, calculations, formatting, usability, and consistency.
Assess slide decks for organization, visual clarity, executive readability, and presentation quality.
Identify factual, aesthetic, formatting, and presentation errors across Microsoft Office and Google Workspace files.
Apply consistent review standards across documents, spreadsheets, and slide decks.