Senior Content Engineer

Overview

Senior Content Data Engineer on the Content Operations team, responsible for maintaining, analyzing and improving the quality of technology product data through data analysis, Power BI reporting and AI-driven process improvement.

What you'll do

• Design, develop and maintain Power BI dashboards and reports covering content quality, operational performance, backlog, SLA, automation coverage and data trends.
• Build meaningful KPIs and visualizations to help stakeholders monitor data quality and operational health.
• Analyze data from multiple sources and create dashboards that provide actionable insights to Operations, Product and Engineering teams.
• Develop automated reporting solutions to reduce manual reporting effort.
• Continuously improve existing dashboards based on business requirements and stakeholder feedback.
• Use Power BI to identify trends, bottlenecks, quality patterns and opportunities for process improvement.
• Identify opportunities to leverage AI, machine learning and intelligent automation to improve content operations and data quality.
• Explore and implement AI-driven solutions for data classification, normalization, mapping recommendations, anomaly detection and quality validation.
• Develop and evaluate AI-assisted approaches for identifying inconsistent mappings, missing content, duplicate products and potential data-quality issues.
• Analyze large datasets to identify data gaps, inconsistencies, anomalies, duplicates and quality issues.
• Perform and support data normalization, mapping, classification, enrichment and validation.
• Review technology product, manufacturer, version, release and lifecycle data to ensure accuracy, completeness and consistency.

What you'll need

• Bachelor's degree in Computer Science, Information Technology, Data Analytics, Engineering or a related field.
• 2–5 years of experience in data analysis, data quality, content operations, data management or a related role.
• Strong analytical and problem-solving skills with experience working with large datasets.
• Strong proficiency in Excel and Power BI.
• Working knowledge of SQL and Python for data analysis and investigation.
• Understanding of data quality, normalization, mapping, classification and validation concepts.
• Strong attention to detail and commitment to data accuracy.
• Good understanding of data visualization and KPI development.
• Basic understanding of AI/ML concepts and their application in data analysis and automation.
• Strong communication and stakeholder-management skills.
• Ability to manage multiple priorities and work effectively in a fast-paced environment.

Nice to have

• Experience working with IT asset management (ITAM), technology/product catalogs, CMDB or IT service management (ITSM) data.
• Experience with Power BI or other data visualization and reporting tools.
• Experience with Python or other scripting languages for data analysis and automation.
• Knowledge of APIs, data pipelines, web crawlers or integrations.
• Familiarity with JIRA or similar ticket-management tools.
• Experience working with product lifecycle data such as GA, EOL, EOS and obsolete products.
• Experience with data governance, data quality frameworks or master data management.
• Exposure to AI/ML-based data automation or rule-generation solutions.

Details

• Location: Bangalore.