About The Company
Airtel Digital is a prominent leader in the telecommunications industry, renowned for its innovative solutions and expansive network coverage. With a customer base exceeding 400 million subscribers, Airtel Digital is committed to delivering seamless connectivity and cutting-edge digital services. As a data-driven organization, we process over 2 trillion events daily and manage a data repository of 100 petabytes, empowering us to make smarter, faster business decisions. Our focus on leveraging analytics and artificial intelligence (AI) enables us to stay ahead in a competitive market, continuously enhancing customer experience and operational efficiency. We foster a culture of innovation, collaboration, and excellence, dedicated to transforming the digital landscape and creating value for our stakeholders.
About The Role
As a Senior Lead Data Analyst at Airtel Digital, you will be instrumental in shaping data-driven strategies that impact various facets of our business. Your primary responsibility will be to analyze complex datasets related to sales, revenue, customer experience, and financial operations such as billing, payments, and collections. You will independently handle end-to-end analytics projects, employing advanced AI and machine learning techniques to uncover actionable insights that drive business growth and operational optimization. This role demands a proactive individual who can collaborate effectively with cross-functional teams including Engineering, Marketing, Product Development, and Customer Experience, ensuring that analytics initiatives align with strategic objectives.You will also play a mentorship role, guiding junior analysts, sharing best practices, and fostering a culture of high-quality analytics execution. Your contributions will directly influence decision-making processes, automation initiatives, and the development of AI-powered solutions aimed at enhancing overall business performance. The position offers an exciting opportunity to work at the forefront of analytics innovation within a dynamic and fast-paced environment.
Qualifications
Educational background in a related field such as Engineering, Data Science, Statistics, or Business Analytics is essential, with a bachelor's degree as a minimum requirement. Candidates should possess 4-6 years of professional experience in data analysis, demonstrating ownership of end-to-end analytics projects with measurable business impact. A strong understanding of core business processesparticularly in acquisition cycles, customer experience, and workforce managementis vital.Technical proficiency is required in data analysis and visualization tools such as SQL, Python, Pyspark, Tableau, Power BI, and Excel. Familiarity with ETL pipelines, data warehousing, and cloud-based AI analytics platforms is necessary. Candidates should have experience with A/B testing, cohort analysis, MECE methodologies, and predictive modeling techniques.Knowledge of AI and machine learning is crucial, with a solid foundation in applying techniques such as regression, random forests, and boosting algorithms to solve business problems. Basic experience with machine learning frameworks like Scikit-Learn and familiarity with Generative AI tools will be advantageous. Proven leadership skills, including mentoring junior team members and fostering a collaborative environment, are highly valued.
Responsibilities
- End-to-End Analytics Execution: Take ownership of data analysis projects, leveraging AI and machine learning to develop solutions that address business challenges in sales, billing, payments, and customer experience.
- Mentorship & Best Practices: Lead by example in executing analytics tasks with high quality, sharing knowledge, and mentoring junior analysts to strengthen the team's analytical capabilities.
- Collaboration: Work closely with cross-functional teams to translate business needs into analytical solutions, providing insights that support strategic decision-making.
- AI & Data Insights: Apply machine learning models and predictive analytics to identify patterns, forecast trends, and automate reporting processes for more efficient operations.
- Problem Solving & Communication: Break down complex problems into structured analyses, and communicate insights clearly and effectively to stakeholders at various levels of the organization.
Benefits
At Airtel Digital, we offer a comprehensive benefits package designed to support our employees well-being and professional growth. This includes competitive salary packages, performance-based incentives, and health insurance coverage. We promote continuous learning through training programs, workshops, and opportunities to attend industry conferences. Employees also enjoy flexible working arrangements, a collaborative work environment, and access to cutting-edge tools and technologies. Our commitment to work-life balance is reflected in various wellness initiatives and employee engagement activities aimed at fostering a positive and inclusive workplace culture.Equal OpportunityAirtel Digital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, gender, age, sexual orientation, disability, or any other protected characteristic. Our hiring practices are based solely on merit, skills, and qualifications, ensuring that every individual has an equal opportunity to contribute and succeed within our organization.
