Inspection Data Analyst

Allianz UK
Guildford
2 months ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst (Smartsheet)

Data Analyst

Data Scientist (all genders welcome)

Data Scientist (all genders welcome)

Computational Biologist / Bioinformatics Data Scientist

Data Engineer

Join to apply for the Inspection Data Analyst role at Allianz UK


Allianz is a global insurance company serving across 70 different countries, but from the very first day you join our team you’ll know that your contributions are valued. We offer world class learning and career development opportunities, while we celebrate an inclusive culture.


We are an agile team of data specialists delivering analytics, insight and data products to our market leading Engineering Inspection function. We’re the largest Engineering Inspection business in the UK, which means we have lots of IT and data legacy to work with, but we are on a transformation journey and have an incredible opportunity to create value, using the array of big data, analytics and data science tools available to us, our vast pool of data and deep industry expertise.


This is an exciting time in our industry. Success in the future will be for those who embrace technology, innovation and effectively exploit data, and we are positioning ourselves to lead. As a Data Analyst you will join the Engineering Inspection Data Team, with a specific focus on our Engineering Inspection business. You will get to work on strategic data projects, agile proofs‑of‑value, ad hoc data exploration and insight activities. You will have an incredible opportunity to hone your skills in creating data products and solutions, and will be able to make a significant contribution to the future success of Allianz.


This is a hybrid role based in our Guildford office 2 days per week in the office with some flexibility.


Role Description

  • Perform analysis and develop data products that will help hundreds of staff in supporting our customers, and influence our business strategy.
  • Build relationships and collaborate with stakeholders around the business in helping to create data driven solutions to business problems.
  • Identify and integrate new data sources, perform exploration and deliver results, from business intelligence dashboards through to research projects and ad hoc insights.
  • Work in a complex and sometimes ambiguous environment, often with disparate and imperfect data, looking for opportunities to simplify, standardise and enhance.
  • Work with skilled professionals from IT, data and business teams across the UK organisation as well as other global Allianz entities.
  • Learn and advocate for best architectural and governance practice in building and deploying data products.
  • Draft and refine business requirements for data, reporting and analytic needs.
  • Educate and inform non-technical users on best practices in interacting with and interpreting data products.

Salary Information

Pay: Circa £35,000 per year. Pay is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package.


About You

  • Experience working in a project environment or managing large items of work– ideally in the context of data.
  • Experience in presenting and stakeholder management.
  • An interest in developing new skills.
  • Great communication skills, team player, self‑starter.Organised, demonstrated strong work ethic, results driven and able to hit deadlines.

Essential Skills

  • Must have some practical experience of data manipulation and analysis using Advanced Excel, SQL and visualisation tools.
  • Base level of numerical competence – bachelor’s degree in a numerate, scientific or computing subject (e.g. Computer Science, Business analytics, Data Science, Maths, Economics, Physics …).

Desirable Skills

  • Programming experience in Python, R.
  • Analytics technologies: SAS, SQL, Tableau, Qlik, PowerBI, Microstrategy.
  • Database concepts and tools.
  • Thorough understanding of probability and statistics.

What We Will Offer You

  • Flexible buy/sell holiday options.
  • Hybrid working.
  • Annual performance related bonus.
  • Contributory pension scheme.
  • Development days.
  • A discount up to 50% on a range of insurance products including car, home and pet.
  • Retail discounts.
  • Volunteering days.

Our Ways of Working

Do you need flexibility with the hours you work? Let us know as part of your application and if it’s right for our customers, our business and for you, then we’ll do everything we can to make it happen. Here at Allianz, we are signatories of the ABIs flexible working charter. We believe in supporting hybrid work patterns, which balance the needs of our customers, with your personal circumstances and our business requirements. Our aim with this is to help innovation, creativity, and you to thrive – Your work life balance is important to us.


Integrity, Fairness, Inclusion & Trust

At Allianz, we believe in fostering an inclusive workforce and are proud to be an equal opportunity employer. Our commitment to equal opportunities, gender equity, and balanced gender representation, is demonstrated by our numerous accreditations: EDGE certified for gender inclusion, Women in Finance Charter members, Disability Confident employer, Stonewall Diversity Champion, Business in the Community’s Race at Work Charter signatories, and Armed Forces Covenant gold standard employer.


We embrace neurodiversity and welcome applications from neurodivergent and disabled candidates, offering tailored adjustments to ensure your success.


We encourage our employees to advocate for their needs, whether it’s assistive technology, ergonomic equipment, mentoring, coaching, or flexible work arrangements.


Accessible Application for All

As part of the Disability Confident Scheme, we support candidates with disabilities or long‑term health conditions through the Offer an Interview Scheme, for those meeting the essential skills for the role. Contact our Resourcing team to opt into this scheme or for assistance with your application, including larger text, hard copies, or spoken applications.


Hr‑


Contact: Sophie Mayes


Closing date 9th January 2026. We reserve the right to close the advert early if we reach enough applications.


#J-18808-Ljbffr

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 Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.