Data Analyst III – Content & Data Operations

Data Analyst III – Content & Data Operations

Are you a subject matter expert?

Do you like Generative AI?

About Team:

The LexisNexis Intellectual Property (IP) division () provides international patent content and a suite of online and analytic tools that meet the evolving needs of the intellectual property market. We deliver data to support LexisNexis IP search and analytics applications, empowering our customers with actionable insights and metrics for critical business decisions.

Our corporate culture thrives on excellence, innovation, and a strong dedication to our customers, employees, and communities. Working here means joining a vibrant, diverse, and collaborative team where you are free to grow and contribute actively.

About Role:

We are seeking aData Analyst IIIto join theContent teamatLexisNexis IP. In this role, you will serve as a subject matter expert in intellectual property (IP) data, leading the transformation and enrichment of structured patent and related datasets into high-quality, insight-ready content.

Collaborating across Product, Technology, Customer Success, and other departments, you will support the development of advanced enhancements—such aspatent landscapes,claim charting, andAI-enabled enrichment initiatives. You’ll help shape how AI models integrate into content pipelines and how structured and unstructured IP data is activated for value across our products.

Operating with limited supervision, you will contribute to cross-functional projects of intermediate complexity, ensuring data quality, usability, and strategic value across platforms. A critical part of this role includesevaluating and validating outputs from generative AI systems—assessing the quality, relevance, and reliability of AI-generated insights to help inform product design, data enrichment workflows, and continuous improvement.

Key Responsibilities

Serve as a subject matter expert in IP content, advising on data structures, enrichment opportunities, and usage across products and tools.

Lead analytics and enrichment projects for structured IP data, including transformation, modeling, and output validation.

Identify and explore adjacent IP datasets to expand and enhance LexisNexis IP offerings.

Support the creation of advanced enrichment layers such as patent landscapes, claim charting, and concept classification, including those powered by generative AI.

Evaluate and monitor outputs from AI-driven tools and generative models, distinguishing high-quality results from low-quality ones and providing structured feedback to improve AI performance and training alignment.

Help define evaluation criteria and success benchmarks for AI-generated content, contributing to the ongoing refinement of both enrichment workflows and user-facing product experiences.

Prepare, transform, and model complex structured datasets using SQL, Python, and modern data tooling.

Develop clear and intuitive visualizations and dashboards that support communication across technical and business teams.

Collaborate across Product, Engineering, and Customer Success to ensure content aligns with roadmap objectives, technical constraints, and customer needs.

Contribute to internal standards for data quality, vendor dataset integration, metadata normalization, and responsible AI use.

Required Skills and Qualifications

Education

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Information Science, or a related quantitative discipline.

Experience

2–5 years of experience in data analysis, content enrichment, or structured content curation—preferably in the IP, legal, or technical data space.

Familiarity with IP metadata standards such asINPADOC,CPC,WIPO ST.36/ST.96, orEP/USPTO-specific schemas.

Proficiency in SQL and Python or R.

Experience with data tools such as Databricks, Tableau, or Power BI.

Exposure to generative AI systems, ML model evaluation, or LLM applications in content processing is a strong plus.

Soft Skills

Strong communication and stakeholder management skills—able to explain complex data concepts to varied audiences.

Excellent problem-solving abilities and attention to detail.

Sound judgment in assessing qualitative outputs, particularly in contexts involving AI-generated text, classifications, or enrichment suggestions.

Proactive, collaborative mindset with the ability to work independently on parallel initiatives in a fast-paced environment.

Why Join Us?

Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.

Work in a way that works for you

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working for you

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

Dutch Share Purchase Plan Annual Profit Share Bonus Comprehensive Pension Plan Home, office or commuting allowance Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption and Family Care leave Flexible working hours Personal Choice budget Variety of online training courses and career roadshows Wellbeing programs and gym facility in the office Internal communities and networks Various employee discounts Recruitment introduction reward Work from anywhere Employee Assistance Program (global) Annual Event