Lead Web And Digital Analyst

EPAM Systems; Gurugram District; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

EPAM Systems in Gurugram is seeking a Lead Web & Digital Analyst to oversee enterprise analytics across web and mobile platforms. You will drive advanced analytics implementation, data engineering, and AI-driven automation while reporting to stakeholders for data-driven decisions.

The role focuses on GA4, GTM, BigQuery, Looker Studio, and AI-assisted automation, with governance, Jira/Confluence in an Agile environment, and GDPR/LGPD compliance.

Qualifications

• 9–14 years of combined experience in digital and web analytics positions.
• Strong command of Google Analytics 4, Google Tag Manager, and Firebase Analytics for implementing web and mobile tracking.
• Advanced skills in Google Cloud Platform, BigQuery, and SQL for data engineering and warehousing tasks.
• Proficiency with Power BI and Looker Studio for building visualizations and executive reports.
• Exposure to AI-assisted SQL generation, Retrieval-Augmented Generation concepts in analytics.

Responsibilities

• Administer and implement GA4 at the enterprise level with event design and reporting.
• Configure Google Tag Manager (Web & Server-Side) with Consent Mode v2 and privacy-first measurement.
• Set up cross-domain tracking and UTM governance for campaigns.
• Build mobile analytics using Firebase Analytics and Crashlytics with QA for analytics.
• Develop data pipelines and BigQuery solutions on Google Cloud.

Skills

Analytics leadership

Stakeholder reporting

AI automation

Prompt engineering

Data governance

Education

Bachelor's/Master's in CS/Math/Statistics

Tools

GA4

Google Tag Manager

Firebase Analytics

BigQuery

Power BI

Looker Studio

Jira

Confluence

OneTrust

Job description

Job Description: We're looking for a Lead Web & Digital Analyst to take on the role of Digital Analytics SME / Technical Analytics Lead, overseeing web and mobile analytics operations across enterprise platforms. This position centers on advanced analytics implementation, data engineering, AI-driven automation, and stakeholder reporting to enable data-driven decisions throughout the organization.

Responsibilities

• Administer and implement GA4 at the enterprise level, covering event design, reporting, attribution, and audience creation
• Manage and configure Google Tag Manager (Web & Server-Side) with Consent Mode v2 and privacy-first measurement approaches
• Set up cross-domain and cross-platform tracking, along with UTM governance for marketing campaigns
• Build mobile analytics instrumentation using Firebase Analytics and Crashlytics, covering app release validation and analytics QA
• Architect data layer design and construct web and mobile analytics tagging using JavaScript
• Develop and refine data pipelines and BigQuery solutions on Google Cloud Platform
• Build executive dashboards and self-service analytics tools using Power BI and Looker Studio
• Create KPI frameworks and turn data into clear narratives for stakeholders
• Use Claude Code and Microsoft Copilot Studio to automate analytics processes and develop AI agents for self-service insights
• Contribute to digital marketing measurement efforts, including SEO, paid media, attribution modeling, and conversion rate optimization
• Oversee Jira workflows and Confluence documentation within Agile/Scrum delivery environments
• Maintain compliance with GDPR/LGPD standards while supporting consent management, data governance, and audit activities

Requirements

• 9-14 years of combined experience in digital and web analytics positions
• Strong command of Google Analytics 4, Google Tag Manager, and Firebase Analytics for implementing web and mobile tracking
• Advanced skills in Google Cloud Platform, BigQuery, and SQL for data engineering and warehousing tasks
• Capability in Power BI and Looker Studio for building visualizations and executive-level reports
• Understanding of Anthropic Claude Code and Microsoft Copilot Studio for automating analytics through AI
• Exposure to prompt engineering, AI-assisted SQL generation, and Retrieval-Augmented Generation concepts applied to analytics
• Experience with Android and iOS SDK implementation, deep linking, and designing mobile event taxonomies
• Solid grasp of attribution modeling, customer journey analytics, and A/B testing approaches
• Proficiency with Jira, Confluence, and Agile/Scrum delivery methods
• Credentials in GDPR/LGPD compliance and consent management platforms, with OneTrust experience preferred

Nice to have

• Experience with Adobe Analytics and Tealium or similar tag management systems
• Exposure to AppTweak and Adjust MMP or comparable mobile measurement platforms
• Ability to use Python for automating analytics tasks and Power Automate
• Understanding of Git/GitHub for version control
• Experience with A/B testing tools such as Optimizely and VWO