Sr.Lead Data Analyst- APP

airtel; Gurugram District; On-site; INR 4,200,000 - 6,000,000; Full time

Job summary

Airtel is seeking a Head of App Analytics to lead analytics for the Airtel App, partnering with Product, Engineering, Design and Growth teams to drive growth and optimise the customer journey. You will own end-to-end analytics, establish self-serve data views and guide senior stakeholders on data-driven decisions.

The role is highly collaborative, hands-on with SQL and Python, and focused on delivering rapid insights that translate into business impact across acquisition, activation, engagement,

Qualifications

• 8+ years overall analytics experience including product, digital, business or growth analytics.
• 2+ years leading an analytics team, ideally 5-8+ members.
• Proven partnership with Product, Category and Growth teams with direct ownership of feature, page, journey and funnel insights.

Responsibilities

• Own App Product Health and govern the app scorecard across acquisition, activation, engagement, retention, monetisation and lifecycle.
• Lead end-to-end journey and funnel analytics; map journeys, analyze funnels, and stitch data across pages and lines of business.
• Accelerate feature and page insights with launch baselines and reusable self-serve views for product and growth teams.
• Drive growth and experimentation through hypotheses, A/B tests, guardrails and post-launch impact.
• Build measurement foundations defining instrumentation, events, properties and data-quality checks.
• Lead a team of 5-8+ analysts and manage senior stakeholder relationships, delivering actionable insights.

Skills

SQL

Python

Tools

Mixpanel

Amplitude

CleverTap

Google Analytics

AppsFlyer

Job description

Lead analytics for the Airtel App and make product, category and growth decisions faster. The role will create a reliable, self-serve view of app health, pages, features and end-to-end journeys, reducing the time and stakeholder hand-offs required to answer basic product questions.

This senior role combines business leadership, strong product judgement and hands-on digital analytics. The person will partner with Product, Engineering, Design, Category, Growth, Performance Marketing and Business teams to improve acquisition, activation, engagement, retention, monetisation and customer experience.

A Day in the Life of the Head of App Analytics

Start the day with millions of customer interactions and one exciting question: what is the App telling us? You may review a funnel movement over coffee with Product, brainstorm a new hypothesis with Category and Growth teams, explore a customer journey in Mixpanel or Amplitude, and help Design understand where customers pause, scroll or drop. By afternoon, you could be separating genuine incremental growth from a channel shift, shaping an experiment with Engineering, or turning an unexpected behavioural pattern into the next business unlock. The role is fast, highly collaborative and close to real customer and commercial decisions, with the opportunity to make complex data simple and actionable every day.

Key Responsibilities

1. Own App Product Health

• Define and govern the App scorecard across acquisition, activation, engagement, retention, monetisation and lifecycle.
• Track impressions, clicks, CTR, installs, sessions, active users, scroll depth, conversion, CAC, LTV, ARPU uplift, churn and repeat behaviour.
• Explain what changed, why it changed, which customer behaviour drove it and what action should follow.

2. Lead Journey and Funnel Analytics

• Map end-to-end journeys across entry, discovery, consideration, transaction, fulfilment and repeat usage.
• Analyse step-level funnels, drop-offs, pathing, time between steps and conversion; stitch journeys across pages, features and lines of business.
• Build cohorts by lifecycle, value, channel, category, product holding, engagement depth, device and app version.

3. Accelerate Feature and Page Insights

• Establish launch baselines and rapid measurement for new features, pages, inventory and journeys.
• Create reusable self-serve views so Product, Category and Growth teams can answer common questions without repeated bespoke data pulls.
• Set turnaround and quality standards for first-cut insights, deeper diagnosis and leadership-ready recommendations.

4. Drive Growth and Experimentation

• Partner with Category, Growth and Performance Marketing teams on acquisition quality, channel mix, installs, CAC, LTV and install-totransaction conversion.
• Lead hypotheses, A/B tests, test-control measurement, guardrails, incrementality, scale-up criteria and post-launch impact.
• Build segmentation and personalisation frameworks that improve relevance, conversion and retention.

5. Build Measurement Foundations

• Define instrumentation, events, properties, KPI standards and data-quality checks with Product and Engineering.
• Drive effective use of Mixpanel, Amplitude, CleverTap, Google Analytics, AppsFlyer or equivalent platforms.
• Enable reusable data marts, clickstream views and automated dashboards that reduce manual effort and improve speed to insight.

6. Lead Team and Stakeholders

• Lead and develop a team of 5-8+ analysts and raise the bar on quality, pace and ownership.
• Own senior stakeholder relationships and convert ambiguous questions into clear analytical workplans and decisions.
• Drive 70-80% of the role through alignment, leadership, prioritisation, storytelling and closure while remaining hands-on enough to review SQL, Python and analytical quality.

AIRTEL | APP ANALYTICS

Candidate Profile

Experience

• 8+ years overall experience, including 6+ years in product, digital, business or growth analytics.
• 2+ years leading an analytics team, ideally 5-8+ members.
• Proven experience with a scaled consumer app, e-commerce marketplace, super app, quick-commerce, mobility, fintech, OTT, travel or telecom product.
• Demonstrated partnership with Product, Category and Growth teams, with direct ownership of feature, page, journey and funnel insights.

Digital Analytics Tools

• Strong hands-on proficiency in at least one or two digital analytics platforms. Priority tools include Mixpanel, Amplitude, CleverTap, Google Analytics and AppsFlyer.
• Relevant experience with Adobe Analytics, Firebase, Branch, MoEngage, WebEngage, Adjust, Singular, Heap, Pendo or Contentsquare is also valuable.
• Ability to define events and properties, create funnels and cohorts, analyse retention and pathing, diagnose instrumentation gaps and enable self-service.

Technical and Leadership Capability

• Expert SQL and strong Python; approximately 20% of the role involves direct technical work or review.
• Strong command of funnel, cohort, retention, lifecycle, experimentation, causal and customer-value analysis.
• Experience with Tableau or Power BI, clickstream data, modern data warehouses, ETL pipelines and cloud analytics.
• Confident executive communication, strong product judgement, customer curiosity and a bias for speed without compromising rigour.
• Machine learning and Generative AI exposure are useful but not mandatory.

Success Measures

• Simple questions on features, pages and journeys are answered quickly through trusted self-serve views.
• Leadership receives explanations, root causes and recommended actions, not only metric reporting.
• Feature and experiment decisions are measured consistently and linked to customer and commercial outcomes.
• Product, Category and Growth teams use a common measurement language and make faster decisions.