Lead Data Analyst

Airtel Digital; Gurugram District; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Airtel Digital in Haryana is seeking a Lead Data Analyst to drive data-backed decision-making across sales, revenue, customer experience, and financial operations. You will analyze complex business data, mentor analysts, and contribute to AI-driven solutions for improving performance and process efficiency.

You will own deliverables, collaborate with Engineering, Marketing, Product, and Customer Experience teams, and set high standards for analytics excellence throughout the organization.

Qualifications

• Bachelor’s degree in a related field such as Engineering, Data Science, Statistics or Business Analytics.
• 4–7 years in data analysis with ownership of end-to-end deliverables and business impact.
• Strong understanding of business processes, including sales, billing, payments, and customer experience.

Responsibilities

• End-to-End Analytics: lead data analysis projects using AI/ML to drive sales, billing and customer experience results.
• Mentorship: mentor junior analysts and share best practices to build analytics capability.
• Collaboration: work with cross-functional teams to provide data-driven insights aligned to business goals.
• AI & Data Insights: apply machine learning and predictive analytics to identify patterns and automate reporting.
• Problem Solving & Communication: break down problems and clearly communicate insights to stakeholders.

Skills

Data analysis

Mentorship

Communication

Education

Bachelor’s degree in related field

Job description

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.