Job Description

Would you like to be part of a team that uses data to help organizations manage risk and make confident decisions?

Are you someone who enjoys working collaboratively, asking thoughtful questions, and using data to improve systems and outcomes?

About the Business

LexisNexis Risk Solutions partners with organizations around the world to help them assess and manage risk. Within our Business Services vertical, we deliver solutions that support revenue growth, operational efficiency, and positive customer experiences.

Our products help customers address complex challenges in areas such as Anti‑Money Laundering and Counter‑Terrorist Financing, Identity Authentication and Verification, Fraud and Credit Risk Mitigation, and Customer Data Management.

Learn more at https://risk.lexisnexis.com

About the Team

You’ll be part of a collaborative, cross‑functional team that may include a Squad Lead, Business Analyst, Development Lead, Software Engineers, and Quality Engineers. Our team environment values open communication, shared ownership, and diverse perspectives, with everyone contributing toward common goals.

About the Role

The Data Analyst role supports the performance, reliability, and scalability of large‑scale software systems. You will work closely with engineers and stakeholders in an Agile environment to analyze data, validate system performance, and provide insights that support product quality and growth.

We welcome candidates from a variety of technical and professional backgrounds who are curious, detail‑oriented, and interested in learning.

Responsibilities

• Analyze data to support performance testing, research, and informed decision‑making
• Modify and run existing queries to assess data quality, trends, and coverage
• Perform data profiling, validation, and verification
• Investigate and help resolve data‑related issues in collaboration with other teams
• Create and maintain clear documentation, including data mappings and quality standards
• Communicate findings to both technical and non‑technical audiences
• Provide data and performance insights to support internal teams
• Assist with onboarding and maintaining new data sources as needed

Requirements

• Experience in data analysis, data management, or performance validation
• Familiarity with tools or technologies such as SQL, Python, Linux/UNIX, XML, or similar
• Experience working with multiple data formats (for example: CSV, flat files, fixed‑width files, spreadsheets)
• Ability to analyze information, identify patterns, and communicate insights clearly
• Strong attention to detail and problem‑solving skills
• Willingness to learn new tools, technologies, and processes
• Comfortable collaborating with individuals from different technical backgrounds

Education

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience
• We value relevant skills, hands‑on experience, and learning ability over formal credentials alone
  

Our Commitment to Inclusion

LexisNexis Risk Solutions is committed to building an inclusive workplace where everyone feels respected, supported, and empowered to do their best work. We welcome applicants of all backgrounds, identities, and abilities, and we provide accommodations throughout the hiring process when needed.

Learn more about the LexisNexis Risk team and how we work

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.

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.

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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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