Claims Data Analyst

Forest Hall
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Data Engineer - Configuration

Data Engineer (Online Monitoring)

We’re AND-E – one of the fastest-growing insurance companies. And we’re proud of our warm and inclusive culture. We’re building a diverse community, with a unique blend of strengths, to take our business to the next level.

AND-E was shortlisted in the Best Insurance Employer category at the 2022 British Insurance Awards, earning a 5* rating!

You’ll be responsible for delivering insightful and impactful management reporting in the Claims Insight Team. The team plays a critical role in providing regular, data-driven insights that support the department's strategic goals involving the creation of comprehensive reports and also in-depth analysis and performance monitoring. You will contribute to optimizing processes, identifying trends, and providing actionable recommendations that drive continuous improvement and help achieve key claims objectives

If you’re looking to go further, faster join us and enjoy every opportunity.

CHALLENGED NOW AND-EXPERT NEXT.

Responsibilities:

  • Provide MI and data insight that enables the Business to make effective operational and strategic decisions.

  • Work collaboratively within the claims MI team to build and support process automation and address issues with SQL, Power BI and ThoughtSpot.

  • Documenting data processes and dictionaries to improve visibility and understanding of our data.

  • Work with Claims Analytics to build business rules and automation processes. Then monitor these and address issues as required.

  • Supporting the development of analytical reports including iterating improvements in data models and processes to ensure robustness and scalability.

  • Responsible for generating and presenting regular reports, offering detailed analysis, and monitoring performance metrics to track the department’s progress against its objectives.

    Knowledge, Experience and Qualifications:

    Essential

  • Analytical skill set with an ability to understand data requirements and support the development of data solutions.

  • The ability to influence decisions and stakeholders using data and analytics. This involves translating the data into a digestible format for non-technical stakeholders.

  • Able to operate in a fast-changing and dynamic environment.

  • Excellent SQL skills (ability to write and read highly performant code) are essential for this role. As a minimum, a fundamental knowledge of the principles of data warehousing and relational databases systems would be expected, any additional experience would be advantageous.

  • Data presentation using tools such as Excel & Power BI.

  • Pragmatic, strategic thinker who is able to prioritise and plan automation opportunities across claims.

  • Creation, development, maintenance and management of effective MI.

  • Excellent communication skills that promote an effective and collaborative team-working environment.

  • Ability to learn new technologies and adapt to changing requirements.

    Desirable

  • Insurance claims analytics or knowledge would be useful.

  • Experience with machine learning & Python.

  • Experience using Power Automate and creating flows.

    Why Join Us?

    We're all about helping you grow, with plenty of support to develop in your current role whilst also creating opportunities to explore new ones and advance your career.

    We realise that we need to be a good fit for you above all else – so here’s what you can enjoy about AND-E:

  • Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards.

  • Unmatched Work-Life Balance.

  • Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise.

    Our community’s unwritten rule is to be as flexible as we can be. We understand life happens, and on occasion, we all need a bit of give and take in our day. We don’t want you missing your child’s school play, or the new fridge being delivered. We believe our colleagues should have choice, flexibility, and balance in their home and work life, and we are committed to fostering a diverse, equitable, and inclusive environment where everyone feels valued and supported, including embracing neurodiversity and ensuring all individuals have the tools and opportunities they need to thrive. Our colleagues should have choice, flexibility and balance in their home and work life.

    We like to think our benefits package is one of the best, focusing on colleagues’ health, wealth, and lifestyle. We offer:

  • Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday*

  • 7.5% Discretionary Annual Bonus*

  • Healix Private Medical Insurance Options*

  • 3 x Annual Salary Life Assurance*

    A range of health, wellbeing, and financial support benefits, including money back on health expenses, Employee Assistance Programme, Flu Jab voucher, Virtual GP service, and driving lessons* for you and your family.

  • Additional perks such as a pension advisory service, family-friendly policies, season ticket loan*, cycle scheme*, and financial flexibility through Wagestream*.

  • Subject to company performance and completion of probation

    Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics)

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.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

The Skills Gap in Data Engineering Jobs: What Universities Aren’t Teaching

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.