At a Glance
- Tasks: Lead impactful data analysis projects to drive evidence-based decisions.
- Company: Join the Financial Ombudsman Service, a vital player in UK financial services.
- Benefits: Enjoy flexible working, health plans, and generous holiday entitlement.
- Other info: Diverse, inclusive culture with excellent career growth opportunities.
- Why this job: Make a real difference while developing your analytical skills in a supportive environment.
- Qualifications: Experience in quantitative analysis and proficiency in SQL, Python, or R required.
The predicted salary is between 54500 - 60000 £ per year.
Looking for a new challenge? Take a look at our current vacancies. If you see a vacancy that is right for you, we encourage you to apply!
Join a team where Purpose drives everything we do, Ambition fuels our growth, Trust builds our foundation, and Respect shapes our culture.
We're not just hiring we're inviting you to build the future with us. If you're curious, driven, and ready to leave your mark, this is your invitation to make your next move.
Contract: FTC 12 months
Working hours: 35 hours per week is full time. Where possible, we are open to considering part time/flexible working patterns. Please let us know in your application your desired working pattern.
Salary: £54,500 – £60,000 depending on experience and location.
Location: London
Reporting to: Lead Analyst
By joining our team, you'll enjoy the best of both worlds – hybrid working and the collaboration of a great office environment. Our permanent hybrid policy sees us all working at least four days across a fortnight in the office. As well as extensive opportunities for personal and career development.
About Us: The Financial Ombudsman Service is an independent, not-for-profit organisation that plays a vital role in UK financial services. Every day we help resolve disputes between consumers, or small businesses, and their financial service providers.
As part of a maturing and diverse Analysis and Insight function, you will support the implementation and growth of a data led strategy within the Financial Ombudsman Service. As a Senior Data and Insight Analyst, you will be asked to lead on a number of key analytical work areas as part of a central analytical team with the primary aim of using your analytical and insight skills to support the organisation in making the best decisions from the best evidence. This is a key role within our Analysis and Insight function, which will help us to drive evidence-based decisions across the Financial Ombudsman Service and build our capacity and capability across a range of analytical tools and approaches.
What You’ll Do:
- Use your experience in working with inferential, descriptive, causal and predictive techniques, along with sound business knowledge, to produce impactful analytical outputs that support evidence-based decision making.
- Work with accuracy and professionalism, to deliver on longer term analytical projects, ad-hoc urgent requests and a self-driven program of work.
- Ensure your analysis – and the data it is based on – is quality assured, documented and fit-for-purpose, seeking feedback and opportunities for continuous improvement. Additionally, quality assurance of the analytical work of others in the wider team, when required.
- Demonstrate initiative and drive, challenging and prompting where necessary and building the brand of the analytics team through effective stakeholder and colleague engagement.
- Supporting, and mentoring other analysts in the delivery of their workstreams.
- Delivering a fair and efficient service, that reflects the diversity of our customers and our people.
Minimum Criteria:
- A demonstrated track record of impact through quantitative analysis, ideally in a large organisation that prides itself on customer service.
- Experience of leading and delivering a portfolio of analytical work. Ideally, you can showcase examples of the work you have led on.
- The ability to work with ambiguity, focusing on the big picture and eliciting the key issue from stakeholders or situations, so your – and others’ analytical expertise drives evidence-based improvements.
- Knowledge (Math/Stats degree or aligned qualification preferred) and practical experience of a range of quantitative analytical techniques.
- Comfortable working knowledge of: SQL, Python and/or R, mathematical modelling, sampling and statistical theory, systems thinking and operational research methods.
- Strong communication skills, both verbal and written – you can explain your ideas in a way decision makers understand and can act on.
- Attention to detail coupled with a strong quality assurance focus, to ensure accurate solution delivery that meets the stated requirements.
Why You'll Love Working with Us:
We are a value led organisation. Our values define our culture, influence our decisions, and underpin our vision and strategy. They set out how we play our PART through Purpose, Ambition, Respect and Trust.
You can learn more about our values here: https://www.financial-ombudsman.org.uk/who-we-are/aims-values
Flexibility: remote, hybrid, or in-office
Wellbeing: Health plan, gym memberships, mental health support
Growth: We invest in your future with courses, mentorship, promotions
Culture: Diverse. Inclusive. Collaborative. Fun.
We also offer an attractive, competitive salary and flexible benefits to suit our people. Here’s a list of some of the many benefits and perks you can get for working with us:
- 25 days holiday entitlement, with the option to buy extra or sell days
- Generous pension
- Various Family Friendly Policies, including enhanced maternity pay, carers and dependants leave
- Employer provided benefits such as Private medical insurance, virtual GP, Critical illness cover, Life assurance cover, to name a few
- Choice of voluntary benefits including Technology scheme, Cycle to work scheme, Will-writing service amongst others
- Gym membership discounts, and a fully equipped on-site gym open 24/7 in London only
Let’s Make This Easy. Apply in a few minutes: Please upload a copy of your CV. Applications need to be submitted by 11:59pm on Friday 10th July 2026.
Due to high application numbers this advert may end earlier than the date specified, so please don't delay and apply now!
A full job profile is available on request and will be provided to candidates shortlisted to the first stage of the assessment process.
The Financial Ombudsman is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all team. We view diversity as fundamental to our success and welcome applications from underrepresented groups across all communities. Please click on the link below to find out more https://www.financial-ombudsman.org.uk/who-we-are/aims-values/diversity-inclusion
Don’t miss out be part of the journey and take advantage of this opportunity.
Join our community – This is a great opportunity to learn about the Financial Ombudsman and the work that we do. Be a part of our IT & Digital community join here.
Authenticity of applications: We value authentic personal applications. If we determine that your CV or supporting statement was generated using AI tools, your application may be withdrawn from consideration. Good luck with your application.
Senior Data and Insights Analyst employer: Financial Ombudsman
At the Financial Ombudsman Service, we pride ourselves on being a value-led organisation that fosters a culture of Purpose, Ambition, Respect, and Trust. Located in the vibrant city of London, we offer a hybrid working model that promotes flexibility while ensuring collaboration in a supportive office environment. With extensive opportunities for personal and career development, alongside a comprehensive benefits package including health plans, gym memberships, and generous leave policies, we are committed to investing in our employees' growth and wellbeing.
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We think this is how you could land Senior Data and Insights Analyst
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We think you need these skills to ace Senior Data and Insights Analyst
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
