Senior Data Analyst - Anti-Fraud & Quality Intelligence

Senior Data Analyst - Anti-Fraud & Quality Intelligence

Join to apply for the Senior Data Analyst - Anti-Fraud & Quality Intelligence role at Kantar.

Overview

We’re the world’s leading data, insights, and consulting company; we shape the brands of tomorrow by better understanding people everywhere. Kantar’s Profiles division is home to the world’s largest audience network. With access to 170m+ people in over 100 global markets, we offer unrivalled global reach with local relevancy. Validated by industry leading anti-fraud technology, Kantar’s Profiles Audience Network delivers meaningful data with consistency, accuracy, and accountability – all at speed and scale.

Kantar is seeking a highly motivated and experienced Senior Data Analyst to join our global team. This role is central to enhancing the quality and consistency of our 50+ survey panels across 40+ countries. These panels consist of opted-in, fully consented consumers who provide valuable insights through online surveys. Your mission: to assess and report on panellist quality, detect fraudulent activity, and ensure the integrity of our data.

Incentivised surveys have become a target for online fraud; at Kantar, we are committed to staying ahead of these threats by investing in advanced analytics and fraud detection capabilities. You’ll play a key role in protecting our data quality and delivering trusted insights to clients worldwide.

This is a high-impact role with the opportunity to collaborate directly with Operational, Commercial, and Data Science leaders. You’ll work alongside a talented team of analysts, scientists, engineers, and developers in a mission-critical environment.

What You’ll Do

• Analyse panellist behaviour and survey data to assess quality and detect fraud.
• Identify patterns and trends across markets, time, and customer segments.
• Prototype new ideas and develop statistical models to improve decision-making.
• Collaborate with developers to implement scalable, production-ready analytics solutions.
• Improve monitoring and measurement of fraud detection systems.
• Contribute to the full data science lifecycle: from hypothesis generation to production-ready analytics.
• Communicate insights clearly to technical and non-technical stakeholders.
• Work with cross-functional teams to drive better data quality and commercial outcomes.

What You’ll Bring

• 5+ years of experience in analytics, data mining, and reporting.
• Hands-on experience in fraud detection, anomaly detection, or similar quality-focused domains.
• Strong proficiency in Python, SQL, and statistical techniques.
• Experience with cloud platforms (AWS, Redshift, Azure), git version control, model automation, Kafka.
• Familiarity with intermediate-level statistics (Probability, Hypothesis testing, Frequentist and Bayesian statistics).
• Proven ability to present insights using PowerBI and Excel.
• Strong problem-solving skills and a collaborative mindset.
• Experience in industries with large consumer marketplaces (e.g., programmatic media, travel, financial services) is a plus.

Our Tech Stack

• AWS
• Redshift
• Postgres
• Grafana
• PowerBI

Note: While our current environment is AWS, we are transitioning to Azure for new development.

Why Join Us?

At Kantar, you’ll be part of a global leader in data, insights, and consulting. You’ll work on meaningful challenges, contribute to cutting-edge solutions, and help shape the future of market research. We offer a collaborative environment, opportunities for growth, and the chance to make a real impact.

Candidates must have the right to work in the UK.

We value diversity and encourage applicants from all backgrounds to apply.

Job Details

1. Seniority level: Mid-Senior level
2. Employment type: Full-time
3. Job function: Information Technology
4. Industries: Market Research

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