Senior Lead Data Analyst

About the job

About the role: As a Sr. 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. 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: 6-9 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: • Proficiency in data analysis and visualization tools (e.g., SQL, Python, Pyspark, Tableau, Power BI, Excel). • Understanding of ETL pipelines, data warehousing, and cloud-based AI analytics platforms. • Proficiency in A/B testing, cohort analysis, MECE methodologies, and predictive modeling. • Solid foundation in applying AI/ML techniques to business data, including predictive analytics and anomaly detection.

Requirements

• Data Analysis
• Machine Learning
• Predictive Analytics
• SQL
• Python

Qualifications

• Bachelor’s Degree

Preferred Technologies

• Data Analysis
• Machine Learning
• Predictive Analytics
• SQL
• Python

About the company

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.