Content Performance Analyst
LexisNexisAbout the role
Want a seat at the table where editorial content, product, and data intersect?
Can you bridge the gap between how content performs and how decisions get made?
About the Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case.
About the Role
The Content Performance Analyst is embedded in Global Editorial Operations (GEO) Strategy and focuses on content performance, content integrity, and quality measurement for AI-assisted production. You will unlock data across GEO and adjacent functions (Finance, Product, and Technology) to produce decision-ready insights and executive-ready narratives that inform prioritization and leadership decisions. You will also help strengthen the QA and measurement systems required for AI-assisted content production at scale, ensuring outputs across all content verticals are consistently high-quality, defensible, and improving over time. This role serves as a key enabler of data fluency within GEO, supporting QA, training, and adoption of performance insights across the organization.
Success in this role requires strong analytical discipline, sound judgment, responsiveness, and the ability to synthesize information quickly for senior audiences.
Responsibilities
Data Management and Structuring
Execute recurring and ad hoc data pulls across editorial and operational systems
Reconcile inconsistencies across sources; validate, document and socialize metric definitions, assumptions, and calculation logic.
Structure datasets to align with specific strategic questions
Improve the efficiency and repeatability of recurring reporting processes
Align data practices with enterprise governance standards, including Global Operations (GO) data and analytics teams
Strategic Analytical Support
Translate leadership questions into measurable metrics and analytical plans; clearly articulate implications of findings, limitations and confidence levels (what’s proven vs. directional).
Conduct trend, variance, and performance driver analysis; identify where additional data or workflow instrumentation is needed to strengthen claims over time.
Support scenario comparisons and initiative tracking
Executive Reporting and Visualization
Develop executive-ready presentations and data visualizations for strategy discussions
Convert complex analysis into concise visuals that accelerate understanding and ensure consistency in narrative structure and presentation quality
Support preparation for GEO leadership reviews and enterprise-level discussions; tailor materials for different leadership audiences and forums
Performance Monitoring
Produce recurring performance reporting aligned to strategic priorities, including AI-assisted throughput and quality signals
Track KPIs and highlight meaningful performance shifts
Support ongoing refinement of metrics as strategy evolves
Contribute to the standardization of GEO performance and QA reporting practices
Stakeholder Coordination
Partner closely with the Head of GEO Strategy to prioritize analysis
Collaborate with Editorial Operations, Finance, Metrics, Tech, Product and Data Ana
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