Data Analyst

About the CompanyThis role sits within Airtel Digital, the OTT entertainment vertical of a major telecom brand. The team is building a unified digital entertainment experience across products such as Airtel XStream, Live TV, and DTH, with a strong emphasis on innovation, personalization, and smarter content discovery.Role OverviewThe Product Analytics group in Gurgaon is hiring a Data Analyst to support work across customer personalization, engagement, revenue, and cost initiatives. The position involves generating insights that help leaders make well-informed decisions and partnering with product, tech, growth, marketing, and business teams on measurement and strategy.This is a hands-on analytics role for someone who can independently own key metrics for a pod, work with data and business stakeholders, and also show curiosity toward AI/ML-based workflows to solve complex analytical problems. The role contributes to strategic data science and LLM-driven initiatives as well.Key ResponsibilitiesStudy large user-behavior and content-consumption datasets to uncover practical business insights.Create dashboards and visual reports to monitor KPIs, product outcomes, and customer engagement.Develop advanced SQL queries and Python scripts to pull, clean, and prepare data for analysis.Use tools such as LLMs, machine learning, SQL, Python, and Excel for analysis, automation, and forecasting.Partner with cross-functional teams on experimentation, user segmentation, and personalization efforts.Convert business objectives into analytical questions and deliver recommendations based on evidence.Contribute to ETL work and improvements in data pipelines.Communicate findings to stakeholders in a clear, compelling, and impact-oriented manner.Work with product teams on tracking requirements and implementation of tools such as Clickstream, Google Analytics, Branch, and MoEngage.Coordinate with engineering teams to apply AI/ML insights in product analysis, including basic predictive modeling, sentiment analysis, and LLM-based data workflows.Required QualificationsB.Tech/BE in Computer Science or a related technical discipline, or a background in Statistics or Operations Research.At least 3 years of practical analytics experience.Advanced proficiency in SQL, Python, and Tableau.Strong ability in data manipulation, statistical analysis, and structured problem-solving.Excellent written and verbal communication skills, with the ability to turn analysis into business-ready insights.Working familiarity with core machine learning ideas such as regression, classification, and clustering, along with hands-on use of AI APIs and prompt engineering for data synthesis.Preferred SkillsExposure to large-scale datasets and distributed processing frameworks like PySpark.Understanding of Airflow, ETL workflows, data build tools, and basic data engineering concepts.Ability to manage and communicate datamart plans for internal stakeholders.Academic exposure in Statistics, Mathematics, Economics, or another quantitative field.Work LocationThis is an on-site role based in Gurgaon/Gurugram, Haryana, India.Additional InformationDepartment: Data & AnalyticsReporting to: Analytics ManagerExperience required: 4+ years mentioned in the role overview.