Position Overview

The Senior Associate, Content Data Analyst supports metadata tagging operations and content ecosystem reporting for Global Content Strategy. This role focuses on internal operations, helping ensure the accuracy, consistency, and performance of metadata tagging while enabling visibility into CCEL (cross channel engagement leads) operational performance through dashboards and reporting.

The role requires solid analytical skills, handson experience with reporting tools, and the ability to work with structured content data from AEM and related Adobe platforms. The analyst partners closely with Indiabased content teams to support tagging quality, operational efficiency, and reporting reliability.

Key Responsibilities
Metadata Tagging Analytics
Extract, analyze, and validate metadata and tagging datasets from AEM and related systems.
Identify patterns, inconsistencies, and gaps in tagging to support operational improvements.
Support tagging audits through data validation, metric tracking, and reporting.
Monitor and improve metadata accuracy,



completeness, and consistency across assets.
CCEL Operations Performance Reporting
Develop and maintain dashboards to track CCEL operational performance, including throughput, turnaround time, and efficiency metrics.
Provide regular reporting on tagging operations, highlighting bottlenecks and optimization prospects.
Support operational reviews by delivering accurate and timely data insights.
Measurement, Data Quality Visualization
Build and maintain dashboards using Power BI and develop queries using SQL/Python.
Ensure structured, clean, and reliable datasets for reporting and analysis.
Establish and monitor data quality checks and validation processes.
Identify opportunities to automate reporting processes to improve accuracy, consistency, and efficiency.
Document metric definitions and maintain consistency across reports.
Support continuous improvement initiatives alig

📌 Sr Associate Hyderabad (India)
🏢 AMGEN
📍 India