Lead Claims Insight Analyst in Bristol

Our claims function spends more than £1Bn each year, helping our customers when they need us most. In our team, we use data to improve the customer journey, uncover trends and opportunities, combat fraud and optimise operations.

Allianz Insurance is part of the Allianz SE Group, the largest property and casualty insurer in the world, with 156,000 employees, serving 128m customers in 70 countries.

As a Lead Claims Insight Analyst, you will join the Claims Insight and Performance Team, working under the direction of the Claims Insight and Performance Lead. Your primary aim will be to provide insight on claims trends, utilising and advocating the use of Python to access data via the datalake, and lead the team to transition to using Python as the default where appropriate. You will help the business understand and visualise what has happened, the drivers of that, and the impact this may have going forward based upon our data. You will have an incredible opportunity to enhance your skills in data, develop your business knowledge, and will be able to make a significant contribution to the future success of Allianz.

This is an exciting time in our industry. Successful insurers of the future will be those who embrace technology, innovation and effectively exploit data, and we are positioning ourselves to lead. Our team sits at the heart of data driven transformation and we’re looking for others to join us on this exciting journey.

Location and Salary:

• Location: This is a Hybrid role - Specific location for this role can be discussed at interview.
• Salary: Circa £55,000, dependent on skills and experience.

You will:

• Perform analysis and help develop data products that will help hundreds of staff in supporting our customers, and influence our business strategy.
• Analyse claims data and draw out key trends and insights ensuring that this insight reflects and understands the technical nature of delivery and the impact this may have on those trends.
• Identify and help develop new and improved ways of demonstrating and monitoring claims trends.
• Build relationships and collaborate with stakeholders around the business in helping to create data driven solutions to business problems.
• Act as the technical lead on regulatory data capture and reporting requests.
• Act as the technical lead on group data insight requests.
• Work with skilled professionals from claims, IT, data and business teams across the UK organisation as well as other global Allianz entities.

Key Requirements:

• 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 ...)
• Previous experience working in a Financial Services Analysis role (Insurance desirable)
• Demonstratable experience of data manipulation and analysis using Python or similar programming language extensively in a corporate environment
• Strong analytical skills and be able to communicate to stakeholders across all levels, clearly present ideas, analysis and highlight essential issues to senior managers with conviction and be able to tell the story with clarity
• Strong visualisation methodologies
• Experience in leading presentations and stakeholder management
• A driven desire in developing new skills
• Excellent communication skills to explain complex analyses clearly to diverse audiences across departments and seniority levels
• Team player with a self-starter attitude and proven strong work ethic.

The following are not mandatory requirements, but are of interest:

• Analytics technologies: SAS, Python, R, Tableau, Qlik, PowerBI, Microstrategy
• Thorough understanding of probability and statistics
• An understanding of the principles of insurance
• Experience of Agile ways of working, methodologies and tools (Jira, Confluence)

What We Will Offer You:

• Recognised and rewarded for a job well done, we have a range of flexible benefits for you to choose from- so you can pick a package that’s perfect for you.
• We also offer flexible working options, global career opportunities across the wider Allianz Group, and fantastic career development and training.
• That’s on top of enjoying all the benefits you’d expect from the world’s number one insurance brand, including:

• 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.

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.

Closing date: 12/03/26

Join us - Let's Care for Tomorrow.