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Job Responsibilities:

Define analytics tagging requirements for new and enhanced web/app features and ensure alignment with business KPIs.
Automate the generation of analytics event specifications using AI/LLM tools (e.g., GPT-based models, generative automation platforms).
Translate product requirements into precise event schemas, payloads, and parameter definitions with minimal manual intervention
Develop and maintain automated workflows for events specification creation, review, and updates in collaboration with engineering and analytics stakeholders.
Ensure data governance and consistency across events by applying AI-driven validation and rules.
Integrate specification automation into existing documentation platforms (Confluence, Git-based repositories).
QA of digital data collection and ensure consistent data across platforms.
Collaborate with data engineers, platform teams, and data analysts to deliver features that enable accurate, scalable, and automated data collection.
Build and maintain reports, dashboards, KPIs, and interactive visualizations in Power BI and Adobe Analytics
Translate complex analytical work into meaningful insights and recommendations for stakeholders, including product, marketing, and leadership teams.
Identify opportunities to improve data collection frameworks, reporting processes, and governance standards.
Drive adoption of unified data standards and best practices across digital product teams.
Partner with stakeholders to understand customer experiences and uncover opportunities for optimization through analytics.
Define and document cross-platform analytics event specifications (web, mobile app, backend, SDKs) that align product telemetry with business KPIs and metrics.
Translate product and business requirements into scalable event schemas and parameter definitions, ensuring accuracy across billions of daily events.

Job Type: Full-time

Pay: ₹489,456.10 - ₹685,656.79 per year

Benefits:

  • Cell phone reimbursement
  • Health insurance
  • Work from home

Work Location: Remote

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