Data Analyst

Location: Gurgaon Department: Data & Analytics Reports To: Analytics Manager Experience: 4+ years About Us: With an unrelenting focus on product innovation, a vibrant team, and exciting work culture, we are the OTT entertainment arm of a leading telecom company, bringing the best of digital entertainment onto a single platform for millions of users. Our mission is to make content discovery seamless and personalized, powered by cutting-edge technology and deep user insights. Airtel Digital is a start-up within the telecom giant, Airtel.

We are powering OTT experience across devices and platforms in the form of Airtel XStream - OTT, Live TV, DTH. About the Role: The Product Analytics team is looking for a Data Analyst to join its Gurgaon team. The team is mainly focused on Customer personalisation, Engagement, Revenue and Cost part of the Airtel entertainment digital ecosystem.

As a Data analyst, you will be expected to contribute across pods within the team and will be responsible for generating data-driven insights & recommendations to help leadership in meticulous decision-making. The candidate will be a highly motivated and analytically strong hands on Data Analyst with a curiosity to leverage AI/ML workflows to solve complex problems. They will take end-to-end ownership of key metrics aligned with their POD, work with respective product, tech, growth, and business owners to understand what areas we need to measure and how.

This is a hands-on role that will work closely with Product, Marketing, Tech and Business teams to generate insights, streamline workflows, and support strategic LLM and data science initiatives. 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 (A/B, Pre-post, etc), 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 modelling, sentiment analysis, or LLM-driven data workflows.

Required Qualifications :B.Tech / BE degree in Computer Science / related technical field or Statistics / Operations Research background .3+ years of hands-on experience in analytics .Expert-level proficiency in SQL, Python, and Tableau .Strong 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 (regression, classification, clustering) and hands-on experience using AI APIs and prompt engineering 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 effectively manage and communicate datamart plans to internal customers .Academic background in Statistics, Mathematics, Economics, or a related quantitative field .