Hiring: Data Analyst (Product Analytics) at Airtel Digital

Apply for the Product Analytics Data Analyst position at Airtel Digital (Gurugram). Lead user behaviour analytics, complex SQL/Python modelling, A/B testing frameworks, and LLM-driven data workflows for Airtel Xstream.

About the Company: Airtel Digital

Airtel Digital operates as a high-velocity, agile startup embedded within India’s leading telecommunications giant, Bharti Airtel. Acting as the digital entertainment arm of the enterprise, Airtel Digital powers premium over-the-top (OTT) media, Live TV, and Direct-to-Home (DTH) architectures across millions of active user devices through its flagship ecosystem, Airtel Xstream.

The Data & Analytics Department at Airtel Digital functions as the centralised hub for engineering data products that personalise content discovery and optimise user journeys. This specialised Product Analytics team, operating out of Airtel’s corporate tech hub in Gurugram, Haryana, is systematically split into targeted agile pods. These pods focus entirely on deep customer personalisation, engagement loops, subscriber revenue maximisation, and data-driven cost optimisation.

About the Role: Data Analyst (Product Analytics)

Are you a quantitative data practitioner who thrives at the intersection of product engineering, user psychology, and modern AI pipelines? Airtel Digital is seeking a hands-on, highly motivated Data Analyst to join its elite Product Analytics group in Gurugram. This position is crafted for technical analysts with 3 to 4+ years of experience executing end-to-end data manipulation and translating large-scale user behavioural signals into concrete leadership strategies.

As a Data Analyst, you will assume absolute ownership over the key performance indicators (KPIs) governing your assigned product pod. You will act as a core collaborative bridge between Product Managers, Growth Marketers, Data Engineers, and executive business owners. Your day-to-day work spans the entire analytical life cycle—from auditing raw front-end Clickstream events to deploying predictive regression models, managing A/B testing experimentation matrices, and utilising large language model (LLM) workflows for automated data synthesis.

Key Responsibilities & Advanced Workflows

• Behavioural & Consumption Analytics: Analyse massive, high-velocity datasets mapping user interactions, content navigation pathways, and streaming consumption metrics to isolate drivers of customer churn or engagement.

• Data Extraction & Transformation: Write, optimise, and execute complex SQL queries and advanced Python scripts to pull, clean, and shape unstructured event logs for deep-dive exploratory data analysis (EDA).

• AI/ML & LLM Workflow Integration: Partner with core engineering squads to build basic predictive models (classification, regression, clustering), execute sentiment analysis, and integrate modern AI APIs or prompt-engineering techniques to automate data synthesis.

• Experimentation & A/B Testing Management: Collaborate closely with product and marketing pods to design, track, and measure rigorous experimentation frameworks (including multi-variable A/B testing and pre-post deployment evaluations).

• Telemetry Tracking & Tool Implementation: Work hand-in-hand with frontend engineers to define data tracking logic and implement analytics instrumentation tools such as Clickstream, Google Analytics, Branch, and MoEngage.

• Data Pipeline & ETL Engineering Support: Assist in building out data mart schemas, optimising Extract-Transform-Load (ETL) processes, and driving data infrastructure improvements.

• Executive Storytelling & Visualisation: Architect clean, production-grade Tableau dashboards and interactive visualisations that translate complex analytical realities into high-impact narratives for senior leadership.

Candidate Prerequisites & Technical Skill Stack

Candidates must display a sharp technical foundation coupled with the business intuition required to convert abstract operational challenges into structured mathematical problems.

Required Experience & Educational Baseline:

• Educational Credentials: B.Tech or B.E. degree in Computer Science, engineering, or a highly quantitative track (such as Statistics, Mathematics, Economics, or Operations Research).

• Professional Tenure: 3+ years of hands-on experience working inside an advanced analytics or product data science environment (job specifications prefer 4+ years).

• Core Engineering Stack: Expert-level, fluent scriptwriting capabilities in SQL and Python, paired with production-grade dashboarding mastery in Tableau.

• Statistical Core: Strong domain experience running statistical analysis, data manipulation, user segmentation, and predictive modelling.

• AI/ML Literacy: Clear conceptual understanding of baseline machine learning algorithms (linear/logistic regression, decision trees, k-means clustering) combined with hands-on experience utilising generative AI APIs for analysis.

Preferred Qualifications & Engineering Pluses:

• Distributed Computing: Practical experience querying or processing large-scale datasets via distributed frameworks like PySpark or Hadoop ecosystems.

• Data Orchestration: Functional understanding of data engineering workflows, data build tools, ETL pipelines, and automation tools like Apache Airflow.

• Data Mart Design: Ability to conceptually plan, structure, and communicate scalable data mart layouts to cross-functional internal stakeholders.

Core Position Specifications

• Position Title: Data Analyst – Product Analytics

• Hiring Unit: Airtel Digital (Data & Analytics Department)

• Corporate Parent: Bharti Airtel

• Primary Work Location: Gurugram (Gurgaon), Haryana, India

• Experience Threshold: 3 to 4+ Years of product/quantitative analytics experience

• Reporting Line: Analytics Manager

• Employment Framework: Full-Time, Permanent Individual Contributor Track

• Primary Technical Anchors: SQL, Python, Tableau, Clickstream/MoEngage tracking, A/B Testing, and AI/LLM Data Workflows