Senior Data Analyst - Anti-Fraud & Quality Intelligence
Senior Data Analyst - Anti-Fraud & Quality Intelligence

Senior Data Analyst - Anti-Fraud & Quality Intelligence

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
K

At a Glance

  • Tasks: Analyse data to enhance survey quality and detect fraud across global panels.
  • Company: Join Kantar, the leading data insights company shaping brands worldwide.
  • Benefits: Enjoy a flexible work environment with opportunities for growth and collaboration.
  • Why this job: Make a real impact in data quality while working with cutting-edge technology.
  • Qualifications: 5+ years in analytics, strong skills in Python, SQL, and fraud detection.
  • Other info: Diversity is valued; all backgrounds are encouraged to apply.

The predicted salary is between 43200 - 72000 £ per year.

Senior Data Analyst – Anti-Fraud & Quality Intelligence page is loaded

Senior Data Analyst – Anti-Fraud & Quality Intelligence

Apply locations London, South Bank Central time type Full time posted on Posted 2 Days Ago time left to apply End Date: July 31, 2025 (20 days left to apply) job requisition id R095727

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 the most meaningful data with consistency, accuracy, and accountability – all at speed and scale.

Job Details

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), g it 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.

#LI-LB2

Country

United Kingdom

Why join Kantar?

We shape the brands of tomorrow by better understanding people everywhere. By understanding people, we can understand what drives their decisions, actions, and aspirations on a global scale. And by amplifying our in-depth expertise of human understanding alongside ground-breaking technology, we can help brands find concrete insights that will help them succeed in our fast-paced, ever shifting world.

And because we know people, we like to make sure our own people are being looked after as well. Equality of opportunity for everyone is our highest priority and we support our colleagues to work in a way that supports their health and wellbeing. While we encourage teams to spend part of their working week in the office, we understand no one size fits all; our approach is flexible to ensure everybody feels included, accepted, and that we can win together. We’re dedicated to creating an inclusive culture and value the diversity of our people, clients, suppliers and communities, and we encourage applications from all backgrounds and sections of society. Even if you feel like you’re not an exact match, we’d love to receive your application and talk to you about this job or others at Kantar.

Similar Jobs (2)

Senior Data Scientist

locations London, South Bank Central time type Full time posted on Posted 20 Days Ago time left to apply End Date: August 31, 2025 (30+ days left to apply)

Senior Data Engineer

locations 2 Locations time type Full time posted on Posted 30+ Days Ago time left to apply End Date: August 31, 2025 (30+ days left to apply)

About Us

KANTAR

Kantar is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar’s 25000 people help the world’s leading organisations succeed and grow.

Privacy

For information about how Kantar processes your personal data in the job application process, please click here to read our candidate privacy notice.

#J-18808-Ljbffr

Senior Data Analyst - Anti-Fraud & Quality Intelligence employer: Kantar Group Limited

Kantar is an exceptional employer, offering a dynamic and collaborative work environment in the heart of London. As a Senior Data Analyst, you will have the opportunity to tackle meaningful challenges while contributing to innovative solutions that shape the future of market research. With a strong commitment to employee growth, diversity, and well-being, Kantar ensures that every team member feels valued and included, making it a truly rewarding place to advance your career.
K

Contact Detail:

Kantar Group Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Analyst - Anti-Fraud & Quality Intelligence

✨Tip Number 1

Familiarise yourself with Kantar's tech stack, especially AWS and Azure, as well as tools like PowerBI and SQL. Being able to discuss your experience with these technologies in detail will show that you're ready to hit the ground running.

✨Tip Number 2

Highlight any previous experience you have in fraud detection or data quality assurance. Be prepared to share specific examples of how you've successfully identified and mitigated fraudulent activities in past roles.

✨Tip Number 3

Demonstrate your analytical skills by preparing to discuss how you've used statistical techniques to derive insights from data. Consider bringing a case study or example that showcases your problem-solving abilities in a relevant context.

✨Tip Number 4

Network with current or former Kantar employees on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which can help you tailor your approach during interviews.

We think you need these skills to ace Senior Data Analyst - Anti-Fraud & Quality Intelligence

Data Analysis
Fraud Detection
Anomaly Detection
Statistical Modelling
Python Programming
SQL Proficiency
Cloud Platforms (AWS, Azure)
Data Mining
PowerBI Presentation Skills
Collaboration Skills
Problem-Solving Skills
Intermediate-Level Statistics (KNN, K-means, Bayesian Logic)
Communication Skills
Experience in Consumer Marketplaces

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in analytics, data mining, and fraud detection. Use specific examples that demonstrate your proficiency in Python, SQL, and statistical techniques, as these are crucial for the role.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and your understanding of the importance of data quality and fraud detection. Mention how your previous experiences align with Kantar's mission and the specific responsibilities of the Senior Data Analyst role.

Showcase Your Technical Skills: Be sure to include any hands-on experience with cloud platforms like AWS or Azure, as well as your familiarity with tools such as PowerBI and Excel. Highlight any projects where you implemented scalable analytics solutions or developed statistical models.

Prepare for Potential Questions: Think about how you would explain complex data insights to both technical and non-technical stakeholders. Be ready to discuss your problem-solving approach and how you've collaborated with cross-functional teams in the past.

How to prepare for a job interview at Kantar Group Limited

✨Showcase Your Analytical Skills

As a Senior Data Analyst, you'll need to demonstrate your analytical prowess. Prepare examples of past projects where you've successfully analysed data, detected fraud, or improved data quality. Be ready to discuss the methodologies you used and the impact of your findings.

✨Familiarise Yourself with the Tech Stack

Kantar uses AWS, Redshift, and PowerBI among other tools. Brush up on these technologies and be prepared to discuss how you've used similar platforms in your previous roles. Showing that you're comfortable with their tech stack will give you an edge.

✨Prepare for Technical Questions

Expect questions related to Python, SQL, and statistical techniques. Review key concepts and be ready to solve problems on the spot. Practising coding challenges or data analysis scenarios can help you feel more confident during the interview.

✨Communicate Clearly

You'll need to convey complex insights to both technical and non-technical stakeholders. Practice explaining your past work in simple terms, focusing on the 'why' and 'how' of your analyses. Good communication skills are just as important as technical expertise.

Senior Data Analyst - Anti-Fraud & Quality Intelligence
Kantar Group Limited
K
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>