Join the Data Science team at Kantar as a Mid-Level Data Analyst! This role is key to optimizing Kantar’s data ecosystem by turning raw data into powerful, actionable insights. You’ll work closely with senior data scientists, developers, and cross-functional teams to shape the future of user analytics and machine learning solutions.
Key Skills Required
- Strong hands-on experience with SQL and data querying
- Proficiency in Python, with exposure to R, Scala, or MATLAB
- Deep understanding of data wrangling, mining, and ETL processes (e.g., DBT)
- Experience with machine learning, statistical modeling, and data visualization tools like Grafana or Power BI
- Familiarity with cloud platforms such as AWS, EC2, S3, Redshift
- Solid problem-solving and critical thinking skills, especially in data-driven product development
Qualifications & Experience
- Bachelor’s degree in a relevant field (Engineering, Data Science, Statistics, etc.)
- Minimum 2–3 years of experience in a data-centric role
- Exposure to time series analysis, user engagement metrics, and performance monitoring is a plus
- Bonus: Experience with Excel, Power BI, and handling real-time data visualization
Why Join Kantar?
- Be part of a massive tech transformation powered by AI and cloud
- Work in a collaborative and flexible culture that values diversity and innovation
- Gain exposure to cutting-edge technologies and global data ecosystems
- Shape insights that directly impact how world-class brands connect with people
- Grow within a company that believes in people-first, inclusive leadership
