Survey Data Insight Analysis

I’m working with a set of raw survey-based research data and need a skilled analyst to turn it into clear, actionable insights. You’ll receive the full dataset in its original format; your job is to clean it, explore key relationships, and present the findings in an easy-to-digest form that non-technical stakeholders can understand.

Please apply whichever tools you’re most comfortable with—Python (pandas, NumPy, matplotlib, seaborn), R (tidyverse), or a comparable platform—as long as the final deliverables meet the criteria below.

Deliverables
• A cleaned, well-documented dataset (CSV or similar)
• An analytic report or slide deck summarizing methodology, statistics, and main takeaways
• Clear visualisations that illustrate the most important patterns and correlations
• A brief written interpretation of what the results mean for decision-making

Acceptance criteria
• Reproducible code or notebook included
• All calculations explained or commented
• Visuals labelled and formatted for direct use in presentations
• Findings traceable back to the original survey questions

If you have experience distilling survey data into meaningful stories, I’d love to see examples of your previous work and discuss timelines.