Data Analyst

Kantar Group — Hyderabad, International Tech Park

We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. To start a career that is out of the ordinary, please apply... Job Details 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, a

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