Are you passionate about turning complex data into meaningful insights that drive better decisions?
Do you enjoy partnering across teams to improve data quality, solve challenging problems, and leverage innovative technologies including AI?
About the Business
LexisNexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/
About our Team
Data Insight is a team that consists of two unique groups. The Data Questions Group and the Data Evaluation Team. The Data Questions Group is responsible for answering nearly 2K questions monthly from across of all of RISK. We provide solutions to a variety of data questions and data linking concerns. The Data Evaluation team reviews and analyzes test data from vendors to ensure the data is unique, relevant, and provides lift to our organization’s products. Combined, members of Data Insight have over 300 years of experience in the data analytics field with a range of skills with technology and LexisNexis products.
About the Role
The individual in this role will research and answer from a pool of approximately 2,000 data and linking questions per month from Consumer Center, Compliance, Product, Sales, Customer Support, and Technology across RELX, LNRS, and L&P with 70% of those questions originating from Consumer/Compliance Disputes related to Linking/LexID. Researching and answering these questions promptly, thoroughly, and accurately then communicating those findings clearly is critical to ensuring regulatory compliance and customer satisfaction.
Responsibilities
- Partner with business and technology teams to improve data quality, resolve data integrity issues, and enable informed business decisions.
- Research and resolve complex data and data linking questions, issues, and disputes.
- Execute data research, changes, and initiatives related to new or changing regulatory compliance laws affecting data collection, disclosure, and consumer rights.
- Build visualizations enabling impactful business insights.
- Leverage AI-enabled tools.
Requirements
- 2+ years of experience in data or business analysis with an analytical competency demonstrated.
- Bachelor’s Degree (Computer Science preferred but not required) or equivalent experience required.
- Highly proficient with Microsoft Office suite, especially Excel and PowerPoint.
- Experience leveraging AI-powered tools to accelerate research, analysis, reporting, documentation, and workflow efficiency (e.g., Microsoft Copilot, ChatGPT, GitHub Copilot) is preferred.
- Experience with Power BI and data visualization and reporting.
- Understanding of data governance, data quality, or data management concepts.
- Familiarity or experience with SQL or database query languages is required.
- Excellent communication skills, both written and verbal, especially translating complex technical and proprietary topics into easy to understand/high level responses back to non-technical individuals.
- Excellent teammate, multi-tasker, and ability to consistently execute recurring operational processes with accuracy.
U.S. National Base Pay Range: $59,200 - $98,600. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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Skills Required
- 2+ years of experience in data or business analysis with demonstrated analytical competency
- Bachelor's degree, preferably in Computer Science, or equivalent experience
- Highly proficient with Microsoft Office, especially Excel and PowerPoint
- Experience leveraging AI-powered tools such as Microsoft Copilot, ChatGPT, or GitHub Copilot
- Experience with Power BI, data visualization, and reporting
- Understanding of data governance, data quality, or data management concepts
- Familiarity or experience with SQL or database query languages
- Excellent written and verbal communication skills, including explaining technical topics to nontechnical individuals
- Ability to collaborate effectively, multitask, and execute recurring operational processes accurately
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
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