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Fraud Data Analyst

Harnham - dartford, south east england

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Job Description

Data Analyst - Contract | £500/day | Outside IR35 | 3-6 Months | Hybrid (Reading/London/Remote)We're working with a leading division of a global research and insights company to hire a Data Analyst to support their data integrity and behavioural analytics efforts.About the Team: This team specialises in identifying high-quality participants for large-scale survey research. Ensuring the validity of this data is essential, especially in the face of challenges such as out-of-country fraud, identity simulation, and participants falsifying information to qualify for surveys. The team uses advanced behavioural analytics and proprietary technology to verify authenticity and ensure reliable data.The Role: As a Data Analyst, you will analyse large volumes of survey and marketing data to uncover behavioural patterns, detect anomalies, and support fraud prevention strategies. You'll be working closely with internal stakeholders to improve data quality and research outcomes.Key Responsibilities:Analyse complex datasets to identify trends, patterns, and irregularitiesConduct behavioural research to understand respondent actions and detect fraudUse SQL and Python for data analysisInvestigate anomalies in survey data and flag non-compliant behaviourOperate effectively in an agile, unstructured environmentWhat We're Looking For:Strong analytical and critical thinking skillsA keen interest in behavioural data, fraud detection, or survey analyticsExperience working with large datasets and unstructured problemsComfortable working across flexible, cross-functional teamsExperience with SQL and/or Python preferredDetails:Hybrid working model: remote with occasional travel to Reading and London£500/day, Outside IR35Initial 3-6 month contractTwo-stage interview process focused on problem-solving, adaptability, and investigative thinkingIf you're a curious, data-driven professional with a passion for research quality and behavioural insights, please get in touch to learn more or apply.

Created: 2025-08-11

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