Back to SearchSenior Web & Digital Analyst
Office in India: Gurugram, & 5 others
Web Analytics& 7 others
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We are seeking a Senior Web & Digital Analyst to serve as a Digital Analytics SME / Technical Analytics Lead, driving web and mobile analytics operations across enterprise platforms. This role focuses on advanced analytics implementation, data engineering, AI-powered automation, and stakeholder-facing reporting to support data-driven decision-making across the organization.
Responsibilities
- Implement and administer GA4 at an enterprise level, including event design, reporting, attribution, and audience creation
- Configure and manage Google Tag Manager (Web & Server-Side) with Consent Mode v2 and privacy-first measurement practices
- Establish cross-domain and cross-platform tracking along with UTM governance for marketing campaigns
- Develop mobile analytics instrumentation using Firebase Analytics and Crashlytics, including app release validation and analytics QA
- Design data layer architecture and build web and mobile analytics tagging using JavaScript
- Build and optimize data pipelines and BigQuery solutions on Google Cloud Platform
- Create executive dashboards and self-service analytics solutions using Power BI and Looker Studio
- Develop KPI frameworks and translate data into clear stakeholder narratives
- Apply Claude Code and Microsoft Copilot Studio to automate analytics workflows and build AI agents for self-service insights
- Support digital marketing measurement, including SEO, paid media, attribution modeling, and conversion rate optimization
- Manage Jira workflows and Confluence documentation within Agile/Scrum delivery frameworks
- Ensure compliance with GDPR/LGPD standards and support consent management, data governance, and audit processes
Requirements
- 5-9 years of overall experience in digital and web analytics roles
- Proficiency in Google Analytics 4, Google Tag Manager, and Firebase Analytics for web and mobile tracking implementation
- Expertise in Google Cloud Platform, BigQuery, and SQL for data engineering and warehousing
- Skills in Power BI and Looker Studio for data visualization and executive reporting
- Knowledge of Anthropic Claude Code and Microsoft Copilot Studio for AI-driven analytics automation
- Familiarity with prompt engineering, AI-assisted SQL generation, and Retrieval-Augmented Generation concepts for analytics use cases
- Background in Android and iOS SDK implementation, deep linking, and mobile event taxonomy design
- Understanding of attribution modeling, customer journey analytics, and A/B testing methodologies
- Competency in Jira, Confluence, and Agile/Scrum delivery practices
- Qualifications in GDPR/LGPD compliance and consent management platforms, with OneTrust preferred
Nice to have
- Background in Adobe Analytics and Tealium or other tag management systems
- Familiarity with AppTweak and Adjust MMP or equivalent mobile measurement platforms
- Skills in Python for analytics automation and Power Automate
- Knowledge of Git/GitHub version control
- Familiarity with A/B testing platforms such as Optimizely and VWO