Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Claims Data Analyst

QBE Europe
Leeds
1 week ago
Create job alert
Primary Details

Time Type: Full time Worker Type: Employee


The purpose of this role is to provide expertise in reporting and analysis to enhance decision‑making, support strategic initiatives, and contribute to achieving business goals. The role involves producing analytics, mapping key reporting processes, managing stakeholders, identifying trends, and maintaining reporting requirements to support business needs and objectives.


Additionally, the role includes championing MI Data Warehouse and Reporting tools, collaborating with end users to identify reporting requirements, and providing data insights to drive operational efficiency and meet business objectives.


Leeds/hybrid


The Opportunity

To support the Claims Business Analysis Manager in effectively delivering accurate and timely Claims Management Information and Analysis to key stakeholders, reviewing claims performance, monitoring procedures, ensuring legal compliance and reducing risk.


Your New Role

  • Work with the business to develop and produce accurate, relevant, concise, and timely reports to aid decision making.
  • Support the claims reporting function by analysing claims information and providing reports that enable supporting and challenging internal and external claims handling performance and financial controls.
  • Represent claims on project teams to ensure that claims MI implications are considered.
  • Participate in internal meetings, as required, to provide information to help shape and develop strategy, knowledge and best practice.
  • Act as a focal point within claims for data management and information to provide advice and data expertise.
  • Develop statistical controls so that risks are reduced.
  • Analyse claims data so that changes and trends can be pre‑empted and communicated to the wider business.
  • Ensure project risks and issues are effectively identified and monitored with solutions implemented and recommendations developed.
  • Effectively manage overall relationships with key stakeholders (suppliers, vendors, and internal stakeholders) ensuring the right people are engaged at the right times to achieve change initiatives on time and on budget.
  • Regularly communicate with customers/users at all levels to ensure that requirements and service meet customer satisfaction.

About You

  • SQL knowledge.
  • Power BI report development skills.
  • ThoughtSpot experience (preferable).
  • Advanced MS Excel and Access knowledge.
  • Ability to analyse data across multiple source systems.
  • Quality driven.
  • Ability to analyse, define and specify customer requirements.
  • Methodical, logical, and rational approach to problem solving.
  • Data analysis experience.
  • Working knowledge of insurance/reinsurance (preferable).
  • Can develop good relationships with clients and colleagues.

Why QBE? At My Best

At QBE, we want our people to feel rewarded and inspired to perform at their best. We have created “At My Best” as a way of showing we have your back, offering wellbeing initiatives and benefits that provide flexibility to suit what matters most. Everything we do is underpinned by our QBE DNA.


We are an international insurer building momentum toward becoming the most consistent and innovative risk partner. We welcome flexible working across the company and support inclusivity and diversity.


At My Best – QBE Benefits

  • 30 days holiday a year with the option to buy up to 2 additional days.
  • Flexibility to work part‑time, job share and compressed hours.
  • Pension – automatically enrolled with 10% employer contribution.
  • Private medical insurance – fully comprehensive cover for you and your family.
  • Family friendly policies – 26 weeks leave at full pay for all, regardless of gender identity, sexual orientation or parenthood.
  • Short‑term remote work abroad – up to 20 days per year from certain locations.
  • Sustainable investing – our pension strategy supports net‑zero goals.
  • Cycle‑to‑Work – benefit for exercising and greener commuting, up to £5,000 for bike or accessories.

To find out more visit our reward page.


QBE Awards

  • AXCO Global Insurance Awards 2024 – Network Management of the Year.
  • Insurance Business UK 5‑Star Cyber Awards 2024 – QBE rated as a 5‑Star Cyber Insurer.
  • UK IT Industry Awards 2023 – Green Technology Innovation of the Year.
  • Working Dads Employer Awards 2023 – Parental Policies Award.
  • Insurance Post British Insurance Awards 2023 – QBE rated as a 5‑Star Employer.

Inclusion of Diversity

We are committed to building a diverse workforce that reflects the communities we operate in. We partner with Stonewall and Working Families and support the Women in Finance Charter, UN Women’s Empowerment Principles and Race at Work charter.


Accessibility

We promote an accessible workplace for all. If you require any accommodations during the recruitment process, please let our Talent Acquisition team know.


ESG & Sustainability

Integrating sustainability into our business is central to our purpose. Our focus areas include a net‑zero transition, sustainable workforce development, and growth through innovative solutions. Learn more on our sustainability homepage and reports.


What Next?

If you are passionate about contributing to QBE’s vision of a resilient future for customers and the community, we encourage you to apply! Click the “Apply” button to submit your CV and relevant documents, and one of our Talent Acquisition team will contact you if you meet the role requirements.


Skills

  • Business Intelligence Applications
  • Business Management
  • Communication
  • Critical Thinking
  • Customer Service
  • Detail‑Oriented
  • Financial Products
  • Intentional Collaboration
  • Managing Performance
  • QlikView
  • Regulatory Compliance
  • Reporting and Analysis
  • Risk Management
  • Sound Judgment
  • Stakeholder Management

How to Apply

To submit your application, click “Apply” and follow the step‑by‑step process.


Equal Employment Opportunity

QBE is an equal opportunity employer and complies with equal employment opportunity legislation in each jurisdiction it operates.


#J-18808-Ljbffr

Related Jobs

View all jobs

Claims Data Analyst

Senior Data Analyst

Business Data Analyst

Analytics Data Analyst/Engineer

Supply Chain Data Analyst

Data Science Analyst

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.