Principal Data Analyst

About the Role

You will lead the definition, development, and delivery of AI-powered analytics solutions across critical business domains—ranging from digital customer journeys and revenue growth to network performance, sales operations, collections, and customer experience. You will drive impact by breaking down complex, ambiguous business problems and turning them into structured, data-driven strategies. You’ll work across highly matrixed functions and with senior leaders to embed AI into the fabric of decision-making at Airtel.

This role requires a strong blend of technical depth, business understanding, stakeholder influence, and leadership maturity.

Experience required:

- 10+ years of experience in analytics, with at least 4 years in a leadership role managing teams.

Key Responsibilities

Shape Analytics and AI Strategy

- Define the vision and roadmap for AI-driven analytics across Airtel’s Consumer and B2B businesses. - Design frameworks to measure product, sales, marketing, finance, and customer experience performance. - Champion the use of predictive analytics, Generative AI, and large language models to automate and personalize insight delivery.

Influence Senior Leadership and Drive Clarity

- Engage directly with Airtel’s executive and CXO leadership to present analytics insights and influence decisions. - Translate complex AI and machine learning outputs into clear, compelling business narratives. - Proactively bring structure and clarity to high-stakes, ambiguous problem spaces through data.

Build and Scale Analytics Execution

- Partner with data engineering teams to build scalable solutions and data pipelines. - Drive experimentation with predictive modeling, anomaly detection, forecasting, and Generative AI. - Ensure analytics readiness from the start of every product, marketing, or operations initiative.

Lead Cross-Functional Collaboration in a Matrixed Organization

- Work across product, sales, network, finance, and customer experience teams to prioritize and execute data initiatives. - Bring diverse teams together to align on metrics, methodologies, and insights. - Evangelize a culture of decision-making rooted in data and AI.

Mentor, Grow, and Uplift Analytics Talent

- Lead, coach, and inspire a team of high-performing analysts. - Build capabilities in emerging areas like LLM-driven analytics, automated reporting, and responsible AI. - Foster a high-accountability culture with strong analytical rigor and storytelling excellence.

Qualifications

Business Acumen

- Deep understanding of both B2B and Consumer business models, including sales, product, digital channels, and customer lifecycle metrics. - Familiarity with telecom KPIs like ARPU, churn, usage segmentation, NPS, collections, and network performance.

AI & Technical Skills

- Hands-on proficiency in Python, PySpark, Scikit-learn, TensorFlow, or similar tools. - Experience with machine learning use cases like forecasting, churn prediction, personalization, and anomaly detection. - Exposure to cloud-native analytics platforms (e.g., Google Cloud, AWS, Azure ML) and LLMs such as GPT, Claude, Gemini. - Strong working knowledge of data visualization tools like Tableau, Power BI, or Looker.

Leadership & Communication

- Proven ability to work across matrixed teams and influence senior stakeholders through data. - Strong problem-solving and communication skills—able to drive clarity from chaos. - Experience mentoring talent, setting analytical standards, and building team culture.