Data Analyst

Join Our Data Science Team as a Mid-Level Data Analyst!

We are seeking candidates with experience in a data-related role, possessing a solid foundation in programming (Python and SQL) and a passion for redefining data into actionable insights. You will join our data science department and work directly with our Senior Data Scientists.

Why This Job is Important

This role is crucial for ensuring the functionality and performance of our data ecosystem. By analyzing user acquisition and retention data, you will help identify and resolve weaknesses and bugs in existing models, ultimately contributing to the improvement of our technologies.

What You'll Be Doing

• Monitoring and Maintenance: Lead all aspects of alerts to ensure the ecosystem's functionality, working with existing models for day-to-day operations and performance.
• Data Analysis: Analyze user acquisition and retention data, identifying weaknesses and bugs in existing models for resolution.
• Analytics and Machine Learning: Run analytics to extract statistics, patterns, and design machine learning models to improve existing technologies.
• Collaboration: Work closely with the development team, contributing to data/statistics tasks for improving user engagement. Collaborate with various stakeholders to formulate pertinent questions and provide actionable insights.
• Data Transformation: Employ ETL tools like DBT to transform data, making it more accessible to the broader business. Use time series graphing services such as Grafana to create visualizations, monitor trends, and identify patterns.

The Ideal Skills & Experience

• 4-8 Years Experience with data-related technologies, including database queries, programming, data mining/wrangling, analysis, and reporting.
• Strong proficiency in SQL, with the ability to read, write, and query effectively.
• A keen curiosity about data, statistics, machine learning, and data science.
• Strong problem-solving skills with an emphasis on product development, logical thinking, and critical analysis.
• Experience with statistical computer languages such as Python, Scala, R, MATLAB.
• Knowledge of statistical techniques and concepts, including regression, properties of distributions, statistical tests, and proper usage.
• Experience using web services and languages, including AWS, EC2, S3, Redshift, DigitalOcean, etc.
• Meticulous, with a good work ethic and the ability to collaborate across different teams.
• Experience in Excel and Power BI is a plus.

Why Join Kantar

You'll be joining our technology team, right in the middle of our tech revolution. We're undergoing the largest technology transformation Kantar has ever seen, investing in new AI and cloud technologies. By modernizing all our tech systems, we can respond to our clients needs faster and more efficiently - and keep Kantar as a market leader for insights.

About 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 if we combine the expertise of our people with the latest AI technology, we can really help brands discover some amazing insights.

We prioritize equality of opportunity for everyone and support our colleagues to work in a way that works for them. 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 with us.