Data Analyst II

Nextens; Alpharetta (GA); On-site; USD 59,000 - 99,000; Full time

Job summary

LexisNexis Risk Solutions is seeking a data analyst to research and answer ~2,000 data and linking questions monthly across Consumer Center, Compliance, Product, Sales, and Support. You will partner with cross-functional teams to improve data quality, resolve disputes, and build visualizations that reveal actionable insights.

You’ll leverage AI-enabled tools (Copilot, ChatGPT, etc.) to accelerate research, ensure regulatory compliance, and deliver clear findings to non-technical stakeholders.

Qualifications

• 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.
• Highly proficient with Excel and PowerPoint.
• Experience leveraging AI-powered tools to accelerate research, analysis, reporting, documentation, and workflow efficiency.
• Experience with Power BI and data visualization and reporting.
• Understanding of data governance, data quality, or data management concepts.
• Familiarity with SQL or database query languages is required.
• Excellent written and verbal communication skills, including translating complex topics for non-technical audiences.
• Strong teamwork, multi-tasking, and ability to execute recurring operational processes.

Responsibilities

• Partner with business and technology teams to improve data quality and enable informed decisions.
• Research and resolve complex data and data linking questions, issues, and disputes.
• Execute data research and initiatives related to changing regulatory compliance laws.
• Build visualizations enabling impactful business insights.
• Leverage AI-enabled tools to enhance research and reporting.

Skills

Data analysis

SQL

Power BI

Excel

AI tools

Communication

Teamwork

Education

Bachelor's Degree (CS or related)

Tools

GitHub Copilot

Microsoft Copilot

ChatGPT

Job description

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 are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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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