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Senior Data Analyst - Anti-Fraud & Quality Intelligence
Location: London, South Bank Central
Posted: 11 Days ago
Job Type: Regular
Ref: R095727
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Three Indian colleagues are working together. From left to right. A man with a short brown beard is smiling across at two female colleagues. He is wearing a white shirt. In the middle, a female colleague is working at a silver laptop and has dark hair to just past her shoulders. She is wearing a blue shirt. Finally there is a second woman making notes in her notebook. She is wearing a white patterned scarf and blue and red patterned elbow length top. Her hair is in a braid.

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, with sophisticated attacks evolving rapidly. 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.
  • Contribute to the full data science lifecycle: from hypothesis generation to production-ready analytics.
  • 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.
  • 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 (e.g., KNN, K-means, Bayesian logic).
  • 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
  • DBT
  • 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.

Additional Information

Candidates must have the right to work in the UK.
We value diversity and encourage applicants from all backgrounds to apply.

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