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- Tasks: Analyse data to ensure quality and detect fraud in global survey panels.
- Company: Join Kantar, a global leader in data, insights, and consulting.
- Benefits: Enjoy a collaborative environment with growth opportunities and impactful work.
- Why this job: Make a real difference in market research while working with talented professionals.
- 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
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).
- 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.
- AWS
- Redshift
- 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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Senior Data Analyst - Anti-Fraud & Quality Intelligence employer: Kantar Group
Contact Detail:
Kantar Group 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 the latest trends in fraud detection and data quality analytics. Understanding the current challenges and solutions in these areas will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the data analytics and fraud detection fields. Attend relevant webinars or industry events to connect with potential colleagues and learn more about Kantar's approach to data integrity.
✨Tip Number 3
Brush up on your technical skills, especially in Python and SQL, as well as your knowledge of cloud platforms like AWS and Azure. Being able to demonstrate your proficiency in these tools will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific examples of how you've successfully identified and mitigated fraud in previous roles. Highlighting your hands-on experience will show that you're ready to tackle the challenges at Kantar.
We think you need these skills to ace Senior Data Analyst - Anti-Fraud & Quality Intelligence
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 quality and fraud detection. Mention how your background aligns with Kantar's mission and the specific responsibilities of the Senior Data Analyst position.
Showcase Your Technical Skills: Clearly outline your technical skills, especially your experience with cloud platforms like AWS and Azure, as well as your ability to present insights using PowerBI and Excel. This will help you stand out as a candidate.
Prepare for Potential Questions: Anticipate questions related to your experience with data analysis and fraud detection. Be ready to discuss specific projects where you've successfully identified patterns or improved data quality, as this will demonstrate your expertise.
How to prepare for a job interview at Kantar Group
✨Showcase Your Analytical Skills
Prepare to discuss your experience with data analysis and fraud detection. Be ready to share specific examples of how you've used Python, SQL, or statistical techniques to solve problems in previous roles.
✨Understand the Company’s Mission
Familiarise yourself with Kantar's commitment to data quality and integrity. Demonstrating knowledge about their approach to combating online fraud will show your genuine interest in the role and the company.
✨Prepare for Technical Questions
Expect questions that assess your technical proficiency, especially in cloud platforms like AWS and Azure. Brush up on your knowledge of statistical models and be prepared to explain how you would apply them in real-world scenarios.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. Since you'll be working with both technical and non-technical stakeholders, being able to communicate effectively is crucial for success in this role.