Lead Data Analyst

Airtel Digital; Haryana; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Airtel Digital in Haryana seeks a Lead Data Analyst/Senior Manager to drive data-backed decisions across sales, revenue, billing, and customer experience. You will own end-to-end analytics projects and collaborate with cross-functional teams to deliver actionable insights.

The role emphasizes mentorship, high-quality execution, and applying AI/ML to identify patterns, automate reporting, and improve business performance.

Qualifications

• 4–7 years of data analysis experience with ownership of end-to-end deliverables.
• Strong understanding of business processes including sales, revenue, customer experience.
• Proficiency in analytics tools and methods.

Responsibilities

• End-to-End Analytics Execution: Take ownership of data analysis projects, leveraging AI/ML to solve business problems and drive results.
• Mentorship & Best Practices: Lead by example in executing analytics tasks with high quality, sharing best practices, and mentoring junior analysts.
• Collaboration: Work closely with cross-functional teams to provide data-driven insights that align with business objectives, ensuring actionable outcomes.
• AI & Data Insights: Apply machine learning models and predictive analytics to identify patterns, improve decision-making, and automate reporting.
• Problem Solving & Communication: Break down complex problems into structured analysis, and communicate insights clearly to stakeholders.

Skills

End-to-End Analytics

Mentorship

Cross-Functional Collaboration

AI/ML Basics

Problem Solving

Education

Bachelor’s degree in Engineering / Data Science / Statistics / Business Analytics

Job description

Lead Data Analyst/Senior Manager

Airtel is a leading telecom provider with over 400 million subscribers. As a data-driven organization, we process 2 trillion events daily and store 100 PB of data, enabling smarter business decisions. With growing data demands and evolving use cases, we need faster, scalable decision-making powered by analytics and AI.

About the role:

As a Lead Data Analyst at Airtel, you will play a pivotal role in driving data-backed decision-making by providing actionable insights across various business functions. You will work independently to analyze complex business data related to sales, revenue, customer experience, and financial operations (billing, payments, collections). You will also contribute to the development of AI-driven solutions that improve business performance and optimize processes.

In this role, you will take ownership of your deliverables and work directly with cross-functional teams, including Engineering, Marketing, Product, and Customer Experience, to ensure the successful execution of analytics initiatives. You will also be expected to set an example for high-quality execution, share best practices, and mentor junior analysts to build a strong analytics foundation within the team.

Key Responsibilities:

• End-to-End Analytics Execution: Take ownership of data analysis projects, leveraging AI/ML to solve business problems and drive results in sales, billing, payments, and customer experience.
• Mentorship & Best Practices: Lead by example in executing analytics tasks with high quality, sharing best practices, and mentoring junior analysts to build a strong analytics foundation.
• Collaboration: Work closely with cross-functional teams to provide data-driven insights that align with business objectives, ensuring actionable outcomes.
• AI & Data Insights: Apply machine learning models and predictive analytics to identify patterns, improve decision-making, and automate reporting.
• Problem Solving & Communication: Break down complex problems into structured analysis, and communicate insights clearly to the stakeholders.

Preferred Qualifications:

• Education: Bachelor’s degree in a related field (e.g., Engineering, Data Science, Statistics, Business Analytics)
• Experience: 4-7 years in data analysis, with demonstrated ownership of end-to-end deliverables with clear business impact
• Business Knowledge: Strong understanding of business processes, including acquisition cycles, customer experience, workforce management.
• Technical Expertise