Data Analyst

airtel; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Airtel Digital in Gurgaon is seeking a Data Analyst to join the Data & Analytics team. You will own end-to-end analytics tasks, generate data-driven insights, and partner with product, tech, growth, and business units to measure performance and drive decisions.

The role emphasizes hands-on data manipulation, SQL/Python work, and building predictive insights using ML/AI workflows, with responsibilities across experimentation, personalization, and data pipeline improvements.

Qualifications

• 3+ years of hands-on analytics experience.
• 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 and AI APIs for data synthesis.

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.

Skills

SQL

Python

Tableau

Data analysis

Statistical analysis

Communication

ML concepts

AI APIs

Prompt engineering

Education

B.Tech / BE in CS or Statistics / OR

Tools

PySpark

Airflow

Clickstream

Google Analytics

Branch

MoEngage

Job description

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.