Data Analyst III Are you looking to develop your Data Analyst career? Do you enjoy using a data-driven approach to uncover information and insights? About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com About our Team: The UK Data Insight team has played crucial roles in onboarding new customers, developing marketing studies, and product development. The new hire will play a key role in these areas and will have the autonomy to drive innovation within the team and the larger organization. About the role: The new hire will collaborate across all areas of the business and technology groups, conducting data and root cause analysis, and creating data visualization reports using Power BI as well as involvement with special projects. We are looking for a self-motivated, inquisitive, and adaptable individual with a passion for data. At RELX, we are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment, RELX has implemented the following initiatives: Women in Technology (WiT) Mentoring Program: This program is tailored to enhance career development for female talent in tech roles across all our businesses. Women’s Network Forum: We offer dedicated forums that foster community, mentorship, and professional growth for women. Inspiring Future Talent: We actively engage with schools, hosting events to inspire young females to consider and pursue careers in technology. Responsibilities: Conduct data evaluations and provide insights to various multiple business areas and external vendors. Plan, design, build and maintain reporting for diverse business cases. Become a subject matter expert for UK & Ireland Data. Support Business through data analysis, data development and research. Create data documentation including process mapping and quality thresholds. Investigate and report data issues. Build strong relationships with stakeholders. Utilise various data workflow management and analysis tools. Resolve basic data issues within specific functional area or data type. Produce basic ad hoc data counts, stats, examples as required. Support colleagues in the US Data Insight team with above tasks as required. Requirements Proficiency with data development languages such as SQL/Python/R/ECL/Java Degree in Data Engineering/Computer Science or equivalent experience Knowledge of Git, VSC, Cloud technologies, Confluence and Jira s advantageous. Willingness to develop new skills in AI, Cloud Technologies, Java Development Proficiency with various data types and formats, including flat files, delimited, JSON, XML. Experience creating visualisations using tools like Power BI or Tableau Strong research, problem solving and data investigation skills Excellent oral and written communications skills. Learn more about the LexisNexis Risk team and how we work here LI-MH1 At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups. 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: https://forms.office.com/r/eVgFxjLmAK. Please read our Candidate Privacy Policy .