Senior Data Analyst
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.
- 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.
- 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.
- AWS
- Redshift
- Postgres
- Grafana
- PowerBI