Content Performance Analyst

Reed Technology

1d • Remote

About The Position

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. 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. This role 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. The analyst 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.

Requirements

• 2+ years of experience in analytics, operations analysis, business intelligence, or a related field
• Advanced Excel skills and experience with SQL or comparable querying tools
• Proficiency with BI visualization tools (Tableau, Power BI, or similar) and dashboarding best practices
• Experience building executive-ready presentations and visual narratives in PowerPoint
• Uses AI-assisted tools to accelerate analysis and drafting with rigorous QA and source traceability; comfort operating in an AI-enabled environment where processes evolve rapidly
• Experience assessing or improving QA/measurement systems (including for AI-assisted workflows) using practical methods (sampling, rubrics, thresholds, error taxonomies)

Nice To Haves

• Experience supporting strategy or executive leadership functions
• Exposure to content production, publishing, or knowledge-based businesses
• Familiarity with KPI frameworks and operational performance measurement

Responsibilities

• 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
• 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
• 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
• 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
• Partner closely with the Head of GEO Strategy to prioritize analysis
• Collaborate with Editorial Operations, Finance, Metrics, Tech, Product and Data Analytics teams to gather inputs
• Clarify scope to ensure outputs address the intended decision question

Benefits

• wellbeing initiatives
• shared parental leave
• study assistance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed