Flexera saves customers billions of dollars in wasted technology spend. A pioneer in Hybrid ITAM and FinOps, Flexera provides award-winning, data-oriented SaaS solutions for technology value optimization (TVO), enabling IT, finance, procurement and cloud teams to gain deep insights into cost optimization, compliance and risks for each business service. Flexera One solutions are built on a set of definitive customer, supplier and industry data, powered by our Technology Intelligence Platform, that enables organizations to visualize their Enterprise Technology Blueprint™ in hybrid environments—from on-premises to SaaS to containers to cloud.
We’re transforming the software industry. We’re Flexera. With more than 50,000 customers across the world, we ’ re achieving that goal . But we know we can’t do any of that without our team . Ready to help us re-imagine the industry during a time of substantial growth and ambitious plans? Come and see why we’re consistently recognized by Gartner, Forrester and IDC as a category leader in the marketplace. Learn more at flexera.com
We are looking for a Senior Content Data Engineer to join our Content Operations team and play a key role in maintaining, analyzing, and improving the quality of technology product data.
The role combines data analysis, content quality, Power BI reporting, AI-driven process improvement, and technology domain expertise . The analyst will work with large and complex datasets to identify data gaps and inconsistencies, support normalization and catalog curation, build meaningful insights through dashboards, and identify opportunities to use AI and automation to improve operational efficiency and data quality.
The ideal candidate should have strong analytical and problem-solving skills, experience with data visualization and reporting, curiosity about AI and automation, and the ability to work closely with Engineering, Product Management, and Operations teams.
Key Responsibilities
Design, develop, and maintain Power BI dashboards and reports to provide visibility into 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 .
Required Skills & Qualifications
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, python for data analysis and investigation.
Understanding of data quality, normalization, mapping,…