Negotiable
Outside
Hybrid
London, England, United Kingdom
Summary: The role of Quantitative Research Analyst involves supporting the analysis of an active survey study and providing guidance on quantitative and survey standards within a research program. This hands-on position requires a focus on delivering clear, decision-ready outputs while also incorporating a light consulting aspect. The contract is set to begin immediately and will run until March 31, 2026. The position allows for hybrid working arrangements, with remote options available for the ideal candidate.
Key Responsibilities:
- Analyse survey data and produce clear, decision-ready outputs
- Clean and validate datasets, check data quality, and flag risks
- Generate toplines, cross-tabs, and concise insight summaries
- Advise on survey design, measurement quality, and statistical robustness
- Recommend practical improvements to quantitative standards and processes
Key Skills:
- Strong experience analysing survey or UX research data
- Solid understanding of sampling, confidence, and data reliability
- Ability to translate quantitative findings into clear recommendations
- Comfortable working independently and quickly
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: Other
Duration: Immediate start – 31 March 2026
Location: Hybrid (can consider remote for the perfect match)
Engagement Type: Contract / Freelance (Outside IR35)
We’re looking for a short-term contract Quantitative Research Analyst to support analysis of an active survey study and advise on quantitative and survey standards across a research program. This is a hands-on, delivery-focused role with a light consulting component.
Key Responsibilities
- Analyse survey data and produce clear, decision-ready outputs
- Clean and validate datasets, check data quality, and flag risks
- Generate toplines, cross-tabs, and concise insight summaries
- Advise on survey design, measurement quality, and statistical robustness
- Recommend practical improvements to quantitative standards and processes
Requirements
- Strong experience analysing survey or UX research data
- Solid understanding of sampling, confidence, and data reliability
- Ability to translate quantitative findings into clear recommendations
- Comfortable working independently and quickly