Data Analyst

About the Company

This 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 Overview

The 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 Responsibilities

• Study 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 Qualifications

• B.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 Skills

• Exposure 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 Location

This is an on-site role based in Gurgaon/Gurugram, Haryana, India.

Additional Information

Department: Data & Analytics

Reporting to: Analytics Manager

Experience required: 4+ years mentioned in the role overview.