Data Analyst

Airtel’s interview process typically starts with a timed online assessment focusing on quantitative aptitude, SQL queries and basic Python coding. The technical round dives deeper into data manipulation, Tableau dashboard design and scenario‑based analytics questions, often followed by a discussion on AI/ML fundamentals. The HR round assesses cultural fit, communication skills and career aspirations. Overall difficulty is moderate; thorough preparation of core analytics concepts and clear articulation of past projects help candidates succeed.

Airtel promotes a fast‑paced, merit‑driven environment where innovation is rewarded. Employees enjoy a collaborative atmosphere, ample learning resources and a balanced work‑life policy that includes flexible timings and remote‑work options for certain roles. The company invests heavily in upskilling, offering internal training programs and clear pathways for career growth.

Graduates (B.Tech/B.E., B.Sc., M.Tech, MBA) in Computer Science, Information Technology, Electronics, Statistics, Mathematics or related fields. Minimum 60% aggregate (or CGPA 6.0/10). No active backlogs at the time of joining. Freshers from the 2024‑2025 batch are preferred. Strong analytical mindset, good communication skills and a willingness to learn AI/ML concepts are essential.

Round 1: Online Assessment (Aptitude + SQL/Python coding) → Round 2: Technical Interview (Data analysis, Tableau, AI/ML concepts) → Round 3: HR Interview (Fit, motivation, cultural alignment)

Airtel, a flagship brand of Bharti Enterprises, is one of India’s largest integrated telecommunications services providers, serving over 450 million customers across mobile, broadband, DTH and enterprise segments. With a strong focus on digital transformation, the company has built a robust data ecosystem that powers everything from network optimization to personalized customer experiences. Airtel’s culture of innovation, speed and customer obsession makes it an exciting playground for fresh talent eager to make an impact in the fast‑moving world of fintech and telecom analytics. The Data Analyst role in Gurugram is designed for recent graduates who are passionate about turning raw data into strategic insights. As a member of the analytics team, you will partner with product, technology, operations, risk and senior business leaders to solve high‑impact problems. You will be expected to independently source, clean, and model large datasets, build scalable analytical solutions using SQL and Python, and communicate findings through compelling Tableau dashboards. The role also offers exposure to emerging AI/ML techniques, allowing you to experiment with generative AI, large language models and automation tools that can accelerate decision‑making. **Key Responsibilities** 1. Collaborate with cross‑functional teams to identify high‑value business problems and translate them into analytical projects. 2. Extract, transform and load (ETL) large, complex datasets from multiple sources, ensuring data quality and integrity. 3. Develop efficient SQL queries and Python scripts to perform exploratory analysis and build predictive models. 4. Design and maintain interactive Tableau dashboards that surface actionable insights for stakeholders. 5. Create self‑service analytical tools that empower business users to explore data independently. 6. Identify opportunities to embed AI/ML solutions, such as automated anomaly detection or recommendation engines, into existing workflows. 7. Communicate insights through data storytelling, highlighting business drivers and recommending actionable next steps. 8. Own end‑to‑end delivery of analytics initiatives, from problem definition to impact measurement. 9. Stay updated with the latest AI, data visualization and analytics trends, and propose practical use‑cases. 10. Act as a bridge between technical and business teams, ensuring clear requirement gathering and solution alignment. **Tech Stack**: SQL, Python (pandas, numpy), Tableau, Git, basic AI/ML libraries (scikit‑learn, transformers), cloud data platforms (AWS/Google Cloud). **Growth Path**: Successful analysts can progress to Senior Analyst, Analytics Lead, or specialize in Data Engineering, Machine Learning Engineering or Product Analytics within Airtel’s expansive data ecosystem. **Why Join Airtel?** - Work on real‑world, high‑volume telecom and fintech data that directly influences millions of customers. - Access to cutting‑edge AI tools and a culture that encourages experimentation. - Mentorship from industry veterans and a clear, merit‑based career ladder. - Competitive compensation, flexible work arrangements and a vibrant, inclusive workplace. - Opportunity to be part of a company that is shaping the future of digital connectivity in India.