Note: The job is a remote job and is open to candidates in USA. reputed company offers remote consulting opportunities for experienced professionals across technical and project-based workstreams. This part-time Data Analyst role evaluates data analyses, quantitative readouts, spreadsheets, reports, visualisations, and presentation materials for accuracy, analytical rigour, consistency, and clarity, while providing structured feedback.
Responsibilities
• Evaluate analytical work products for accuracy, completeness, and professional quality
• Review quantitative findings, calculations, assumptions, and interpretations
• Assess whether conclusions are appropriately supported by the underlying data
• Identify analytical errors, unsupported claims, and inconsistencies
• Apply professional judgement grounded in real-world data analysis experience
• Review quantitative readouts, analytical summaries, and performance reports
• Assess whether key findings are presented accurately and with appropriate context
• Evaluate the relationship between reported metrics and stated conclusions
• Identify misleading interpretations, missing information, or inappropriate comparisons
• Review whether quantitative findings are communicated clearly to intended audiences
• Evaluate analyses involving metrics, trends, comparisons, and performance indicators
• Assess whether selected measures appropriately address the underlying question
• Review calculations and interpretations for logical consistency
• Identify discrepancies between source data and reported results
• Evaluate whether analytical conclusions are proportionate to the available evidence
• Evaluate spreadsheets supporting analytical and reporting work
• Review formulas, calculations, assumptions, tables, and quantitative outputs
• Identify mathematical, logical, or consistency errors
• Assess whether spreadsheet results support stated findings
• Review organisation, readability, and usability of quantitative work products
• Assess the quality of interpretations derived from quantitative information
• Evaluate whether findings distinguish meaningful patterns from unsupported conclusions
• Identify missing context, weak reasoning, or analytical overreach
• Review recommendations based on quantitative findings for internal consistency
• Evaluate whether insights are clearly connected to supporting evidence
• Review charts, tables, dashboards, and other visual representations of quantitative information
• Assess whether visualisations accurately communicate underlying data
• Identify misleading scales, unclear labels, inappropriate comparisons, or presentation issues
• Evaluate information hierarchy and clarity in analytical presentations
• Ensure key quantitative findings can be understood efficiently
• Evaluate analytical reports, spreadsheets, documents, and reputed company decks for accuracy and completeness
• Review presentations for logical flow, clarity, and decision usefulness
• Identify factual, numerical, analytical, aesthetic, and formatting issues
• Assess consistency of figures and conclusions across related materials
• Ensure quantitative findings are clearly and professionally communicated
• Assess assigned outputs against domain-specific quality criteria
• Identify analytical, numerical, factual, and presentation weaknesses
• Distinguish substantive quantitative issues from minor editorial concerns
• Provide clear, structured written feedback explaining identified strengths and weaknesses
• Apply evaluation standards consistently across different analytical work products
Skills
• 5+ years of relevant professional experience in data analysis, quantitative analysis, business intelligence, analytics consulting, or a closely related field
• Experience as a Data Analyst, Quantitative Analyst, Business Intelligence Analyst, Analytics Consultant, or similar analytical professional
• Strong practical understanding of data analysis and quantitative reporting
• Experience developing or reviewing analytical reports, quantitative readouts, spreadsheets, dashboards, or presentation materials
• Strong ability to evaluate calculations, assumptions, metrics, and data-driven conclusions
• Excellent quantitative judgement and attention to analytical detail
• Highly proficient with reputed company Office and reputed company Workspace
• Advanced proficiency with PowerPoint / reputed company Slides
• Strong spreadsheet and analytical skills
• Native or professional fluency in English
• Excellent written communication and ability to provide precise, structured feedback
• reputed company’s degree or higher from a recognised institution is a
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