Claims Data Analyst

Forest Hall
3 days ago
Create job alert

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)

Related Jobs

View all jobs

Prinicpal Pricing Analyst - Actuarial Pricing

Director of Healthcare Analytics

Principal Software Architect (Basé à London)

NRAP Honorary Fellow

Head of Underwriting Quality

Senior Clinical Information Scientist

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.

Machine Learning vs. Deep Learning vs. MLOps Jobs: Which Path Should You Choose?

Machine Learning (ML) continues to transform how businesses operate, from personalised product recommendations to automated fraud detection. As ML adoption accelerates in nearly every industry—finance, healthcare, retail, automotive, and beyond—the demand for professionals with specialised ML skills is surging. Yet as you browse Machine Learning jobs on www.machinelearningjobs.co.uk, you may encounter multiple sub-disciplines, such as Deep Learning and MLOps. Each of these fields offers unique challenges, requires a distinct skill set, and can lead to a rewarding career path. So how do Machine Learning, Deep Learning, and MLOps differ? And which area best aligns with your talents and aspirations? This comprehensive guide will define each field, highlight overlaps and differences, discuss salary ranges and typical responsibilities, and explore real-world examples. By the end, you’ll have a clearer vision of which career track suits you—whether you prefer building foundational ML models, pushing the boundaries of neural network performance, or orchestrating robust ML pipelines at scale.