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- Tasks: Analyse data to enhance quality and detect fraud in global survey panels.
- Company: Join Kantar, a leader in data insights and consulting.
- Benefits: Flexible working, growth opportunities, and a supportive culture.
- Why this job: Make a real impact on data integrity and client insights worldwide.
- Qualifications: 5+ years in analytics, strong skills in Python and SQL.
- Other info: Collaborative team environment with diverse perspectives.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
- 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 (e.g., 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’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.
Senior Data Analyst employer: KANTAR
Contact Detail:
KANTAR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Kantar on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. Be ready to discuss your experience with Python, SQL, and fraud detection. Show us how you can tackle real-world problems with your expertise!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your collaborative mindset too! Kantar values teamwork, so share examples of how you've worked with cross-functional teams to drive better outcomes.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Kantar. Let’s make it happen!
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Analyst role. Highlight your experience in analytics, fraud detection, and any relevant technical skills like Python and SQL.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data analysis and how your background makes you a great fit for Kantar. Be sure to mention specific projects or achievements that showcase your expertise.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity at Kantar!
How to prepare for a job interview at KANTAR
✨Know Your Data Inside Out
As a Senior Data Analyst, you'll be expected to have a solid grasp of data analytics and fraud detection. Brush up on your knowledge of Python, SQL, and statistical techniques. Be ready to discuss specific projects where you've successfully identified patterns or trends in data.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities, especially in relation to fraud detection and data quality. Think of situations where you had to analyse complex data sets and how you approached the challenges. This will demonstrate your analytical mindset and collaborative spirit.
✨Familiarise Yourself with Kantar's Tech Stack
Get to know Kantar's tech stack, including AWS, Redshift, and PowerBI. If you have experience with Azure, mention it! Being able to speak about how you've used these tools in past roles will show that you're not just a fit for the role but also for the company’s environment.
✨Communicate Clearly and Confidently
Since you'll be communicating insights to both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Prepare to discuss how you've effectively communicated findings in previous roles, as this is crucial for driving better data quality and commercial outcomes.
