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Data Analyst II

  • Office
  • 3-6 years

Salary

Not stated

Similar roles pay £65K - 95K a year · our estimate

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Description

Are you passionate about transforming complex data into meaningful insights that drive better decisions?

Would you like to work with innovative data solutions that help shape the future of insurance ris k?

About the Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide 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. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle, all while reducing risk. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/insurance. 1

About our Team

The Data Engineering Team in the UK&I features 20 individuals but sits within a global Data Engineering team of over 400+ individuals. Data Management is currently a team of 2.5 team members but is expanding as out product offerings grow within the UK.

About the Role

In this role, you will analyse and interpret complex data to support business decisions and improve data quality across the insurance lifecycle. You’ll collaborate with a variety of stakeholders to deliver insights, resolve issues, and contribute to continuous improvement initiatives. This is an opportunity to combine analytical expertise with modern tools to drive efficiency and innovation.

Responsibilities

  • Analyse data to support business decisions and clearly communicate findings
  • Collaborate with customers, data providers, and internal stakeholders to gather requirements and resolve issues
  • Perform data validation, profiling, reconciliation, and quality assessments
  • Investigate and resolve data issues using root-cause analysis and track remediation actions
  • Develop and modify queries (e.g., SQL) to support research and data quality checks
  • Present insights to both technical and non-technical audiences
  • Support data onboarding, workflow improvements, and operational efficiency initiatives (including automation/AI use)
  • Identify process inefficiencies and contribute to optimisation, risk management, and change initiatives

Requirements

  • 3+ years’ experience in data management, analysis, or customer-facing data roles
  • Strong analytical skills with experience handling large or complex datasets
  • Advanced SQL and Power BI reporting capabilities
  • Knowledge of data lifecycle processes (profiling, validation, reconciliation)
  • Experience with root-cause analysis and data quality improvement
  • Strong communication and stakeholder engagement skills
  • Exposure to APIs, data integration formats, and modern data platforms (e.g., Azure) preferred
  • Experience using AI/automation tools to enhance analysis and efficiency, with a proactive and detail-oriented mindset
  • 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.
  • Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
  • USA Job Seekers:

Where you’d work

From the office

About the company

Company hidden

Office in United Kingdom

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 15 checks run
  • 4 good signs
  • 0 red flags

Still hiring?

10 checks

Actively hiring

In its favour2

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence

How crowded?

5 checks

Low

In its favour2

  • In its Early Window: not on the big job boards yetStrong evidence
  • Asks for Power BI, which only 2% of open roles doSlight evidence

Fits Me

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  • Must-haves
Details10 facts · Role, Location, Compensation, Employment
Tech stack
  • SQL
  • Azure
  • Power BI
Type
Full-time
Specialty
Data Analyst
Region
United Kingdom
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Analyst
Experience
3+ years
Tech stack
  • SQL
  • Azure
  • Power BI

Location

Work model
Office
Region
United Kingdom
Office
  • United Kingdom

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

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