Data Analyst

As a Data Analyst at Airtel Digital, your role will involve contributing to Customer personalisation, Engagement, Revenue, and Cost aspects of the Airtel entertainment digital ecosystem. You will be expected to generate data-driven insights and recommendations to support leadership in making informed decisions. Your responsibilities will include analyzing user behavior and content consumption data, building visualizations to track KPIs, writing SQL queries or Python scripts for data extraction and transformation, and collaborating with cross-functional teams to support experimentation and personalization strategies. Key Responsibilities: - Analyze large-scale user behavior and content consumption data to derive actionable insights. - Build visualizations to track KPIs, product performance, and customer engagement. - Write complex SQL queries or Python scripts to extract and transform data for analysis. - Use LLM, ML, SQL, Python, or Excel for data analysis, automation, and predictive modeling. - Collaborate with cross-functional teams to support experimentation, user segmentation, and personalization strategies. - Translate business strategy into analytical problems and deliver actionable data-driven insights. - Support ETL processes and data pipeline improvements. - Present findings clearly to stakeholders with a focus on impact and storytelling. - Collaborate with Product for data tracking and implementation of tools like Clickstream, Google analytics, Branch, Moengage, etc. - Collaborate with engineering to incorporate AI/ML insights into product analysis, utilizing basic predictive modeling, sentiment analysis, or LLM-driven data workflows. Qualifications Required: - B.Tech / BE degree in Computer Science or related technical field or Statistics / Operations Research background. - 3+ years of hands-on experience in analytics. - Expert-level proficiency in SQL, Python, and Tableau. - Robust data manipulation, statistical analysis, and problem-solving skills. - Excellent communication skills with the ability to translate data into business insights. - Familiarity with basic machine learning concepts and hands-on experience using AI APIs for data synthesis. - Good to have: Experience working with large datasets and distributed computing frameworks like PySpark, understanding of Airflow, ETL processes, data build tools, and data engineering basics, ability to manage and communicate datamart plans effectively. In this role, you will be part of a dynamic team focused on leveraging cutting-edge technology to enhance the digital entertainment experience for millions of users. As a Data Analyst at Airtel Digital, your role will involve contributing to Customer personalisation, Engagement, Revenue, and Cost aspects of the Airtel entertainment digital ecosystem. You will be expected to generate data-driven insights and recommendations to support leadership in making informed decisions. Your responsibilities will include analyzing user behavior and content consumption data, building visualizations to track KPIs, writing SQL queries or Python scripts for data extraction and transformation, and collaborating with cross-functional teams to support experimentation and personalization strategies. Key Responsibilities: - Analyze large-scale user behavior and content consumption data to derive actionable insights. - Build visualizations to track KPIs, product performance, and customer engagement. - Write complex SQL queries or Python scripts to extract and transform data for analysis. - Use LLM, ML, SQL, Python, or Excel for data analysis, automation, and predictive modeling. - Collaborate with cross-functional teams to support experimentation, user segmentation, and personalization strategies. - Translate business strategy into analytical problems and deliver actionable data-driven insights. - Support ETL processes and data pipeline improvements. - Present findings clearly to stakeholders with a focus on impact and storytelling. - Collaborate with Product for data tracking and implementation of tools like Clickstream, Google analytics, Branch, Moengage, etc. - Collaborate with engineering to incorporate AI/ML insights into product analysis, utilizing basic predictive modeling, sentiment analysis, or LLM-driven data workflows. Qualifications Required: - B.Tech / BE degree in Computer Science or related technical field or Statistics / Operations Research background. - 3+ years of hands-on experience in analytics. - Expert-level proficiency in SQL, Python, and Tableau. - Robust data manipulation, statistical analysis, and problem-solving skills. - Excellent communication skills with the ability to translate data into business insights. - Familiarity with basic machine learning concepts and hands-on experience using AI APIs for data synthesis. - Good to have: Experience working with large datasets and distributed computing frameworks like PySpark, understanding of Airflow, ETL processes, data build tools, and data engin