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- Tasks: Analyse and validate data, transforming it into insightful reports for stakeholders.
- Company: Join AXA UK, a leading support function in the insurance industry, dedicated to customer satisfaction.
- Benefits: Enjoy flexible working, competitive salary, bonuses, health cover, and 25 days annual leave.
- Why this job: Make a meaningful impact while enhancing your analytical skills in a dynamic environment.
- Qualifications: Strong analytical skills, experience with statistical software, and knowledge of SQL required.
- Other info: Flexible working arrangements available; apply early as the role may close sooner due to high interest.
The predicted salary is between 24000 - 42000 £ per year.
Description
We\’re seeking a skilled Finance Data Analyst to join our team. You\’ll be responsible for extracting data from AXA systems, meticulously analysing and validating it to ensure its integrity and precision. Your ability to transform raw data into structured information will be crucial in enabling key stakeholders to gain valuable insights.
You\’ll proactively identify areas for improvement in our analytical and reporting functions, continuously striving to enhance efficiency and effectiveness. If you\’re looking for a role with lots of variety, have a keen eye for detail, and a desire to make a meaningful impact, we would love to hear from you.
At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You\’ll work at least 40% of your week away from home, moving to the majority of your working week from September 2025. Away from home means either attendance at our Ipswich office, visiting clients or attending industry events.
We\’re also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition.
What you\’ll be doing:
• Extract data from AXA systems, analysing and validating to guarantee integrity and precision of the data.
• Transform raw data into accurate and timely reports that help stakeholders understand current status and act on key data insights.
• Enhance analytical and reporting functions, identifying areas for improvement. Ensure data is complete, accurate, consistent and reliable through its lifecycle.
• Engage with internal and external stakeholders to specify data requirements.
• Gather data from various sources including databases, application programming interfaces (API), third-party sources and ensure upkeep of databases and data tools.
• Develop data dashboards, charts, and visual aids to support reporting.
• Identify potential risks and support business in developing strategies and solutions to mitigate these.
• Maintain a robust control environment including effective compliance with International Finance Corporation (IFC) controls and processes.
Due to the number of applications we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we\’re able to effectively manage interest. Therefore, if you\’re interested in joining us at AXA, please don\’t hesitate to apply.
What you\’ll bring:
• Solid foundation in figures, statistics and practical experience with statistical software.
• Exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
• Capable of critically evaluating data to derive meaningful, actionable insights.
• Ability to break down complex data insights so they\’re easily understood by a non-technical audience.
• Knowledge of data analysis languages, such as SQL.
• Ability to work under pressure and flexibility to meet tight deadlines.
As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.
What we offer:
At AXA UK, we\’re appreciative of the people who work for us and our rewards package is reviewed regularly to reflect that. You can expect to receive:
• Competitive annual salary of £29,820
• Annual company & performance-based bonus
• Contributory pension scheme (up to 12% employer contributions)
• Life Assurance (up to 10 x annual salary)
• Private health cover
• 25 days annual leave plus Bank Holidays
• Opportunity to buy up to 5 extra days leave or sell up to 5 days leave
• Wellbeing services & resources
• AXA employee discounts
To apply, click on the \’apply for this job\’ button, you\’ll then need to log in or create a profile to submit your CV. We\’re proud to be an Equal Opportunities Employer and don\’t discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, we\’re proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to jennifer.manuel@axa-uk.co.uk.
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Who we are:
AXA UK Support Functions power AXA\’s three customer-facing business units, providing the infrastructure, support and expertise to ensure our customers can always count on us. Whether you\’ve got heaps of experience and qualifications behind you, or you\’re just starting out, we\’ll give you the support and opportunities to help you grow and develop with confidence.
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Finance Data Analyst employer: 55 Redefined Ltd
Contact Detail:
55 Redefined Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Finance Data Analyst
✨Tip Number 1
Familiarise yourself with AXA's systems and data management tools. Understanding how to extract and manipulate data from these systems will give you a significant edge during the interview process.
✨Tip Number 2
Brush up on your SQL skills, as this is crucial for the role. Consider working on sample projects or datasets to demonstrate your ability to analyse and present data effectively.
✨Tip Number 3
Prepare to discuss specific examples of how you've improved analytical processes in previous roles. Highlighting your proactive approach to identifying areas for improvement will resonate well with the hiring team.
✨Tip Number 4
Engage with current employees on platforms like LinkedIn to gain insights into the company culture and expectations. This can help you tailor your responses during interviews and show your genuine interest in the role.
We think you need these skills to ace Finance Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Finance Data Analyst role. Emphasise your analytical abilities, experience with statistical software, and any knowledge of data analysis languages like SQL.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your understanding of the role. Mention specific examples of how you've transformed raw data into actionable insights in previous positions.
Highlight Relevant Skills: In your application, clearly outline your skills in data extraction, validation, and reporting. Discuss your ability to engage with stakeholders and your experience in developing data dashboards or visual aids.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or inconsistencies. A polished application reflects attention to detail, which is crucial for a Finance Data Analyst.
How to prepare for a job interview at 55 Redefined Ltd
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've analysed and validated data in previous roles. Highlight your experience with statistical software and any relevant projects where you transformed raw data into actionable insights.
✨Understand the Role's Requirements
Familiarise yourself with the key responsibilities outlined in the job description. Be ready to explain how your skills align with extracting data from systems, developing reports, and enhancing analytical functions.
✨Communicate Clearly
Practice breaking down complex data insights into simple terms. This will demonstrate your ability to communicate effectively with non-technical stakeholders, which is crucial for this role.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the team dynamics, the tools they use for data analysis, and their expectations for the role. This shows your genuine interest in the position and helps you assess if it's the right fit for you.