National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst

LexisNexis Risk Solutions
Leeds
1 week ago
Create job alert

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,risk.lexisnexis.com


About the team:The data analyst team collaborates with the Data Services Team Lead and cross-functional teams to deliver high-quality, compliant, and actionable insights, while maintaining standardized processes and documentation to drive efficiency.


About the role:You will be responsible for analyzing, interpreting, and presenting data to support the organization’s data-driven products and services, including customer-facing dashboards and regulatory datasets.


Responsibilities:

  • Maintain and update AWS QuickSight customer dashboards
  • Set up and manage QuickSight dashboard user accounts
  • Create and maintain internal dashboards and reports
  • Deliver custom data extracts for clients
  • Handle data analysis requests
  • Support regulatory audits with compliant datasets
  • Develop and manage automated alert reports (like Error reporting)
  • Investigate and resolve data-related issues
  • Provide training and support for Management Information (MI) extract queries
  • Assist Professional Services and Customer Engagement teams in customer-facing meetings for data-related deliverables


Requirements:

  • Exceptional analytical skills with the ability to interpret complex datasets.
  • Proficiency in SQL, Python, and data visualization tools like AWS QuickSight.
  • Experience with regulatory compliance and data privacy standards.
  • Ability to translate business requirements into actionable data solutions.
  • Excellent communication skills to present insights to technical and non-technical audiences.
  • Familiarity with agile methodologies and collaborative team environments.


Learn more about the LexisNexis Risk team and how we workhere

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.