At a Glance
- Tasks: Lead complex data analysis and support business initiatives in a dynamic financial services environment.
- Company: Join Royal London, the UK's largest mutual life and pensions company.
- Benefits: Enjoy 28 days annual leave, up to 14% pension matching, and private medical insurance.
- Other info: Inclusive workplace with opportunities for growth and development.
- Why this job: Make a real impact on data-driven decisions and shape the future of financial services.
- Qualifications: 10+ years experience in data analysis within financial services or regulated environments.
The predicted salary is between 56700 - 69300 £ per year.
We have a fantastic opportunity for an experienced Senior Business Data Analyst to join our Group Data and AI Office (GDAIO) Team at Royal London. This position is aimed at candidates who bring significant experience from financial services or similarly complex regulated environments, and who can combine strong data analysis capability with confident stakeholder engagement, delivery focus and commercial judgement.
The Senior Business Data Analyst will play a key role in shaping high-quality analysis across complex data landscapes. You will support value-chain mapping of data, interpret system performance metrics, agile team performance data and financial data, and help provide check and challenge on GDAIO involvement in key initiatives based on business value and return on investment. The role is particularly suited to someone who understands the realities of delivering data change in a financial services setting, including regulatory expectations, legacy platforms, operational risk and the need for clear, evidence-based recommendations.
Working closely with Data Engineering teams, Business SMEs, Business Sponsors and Senior Leadership, the Senior Business Data Analyst will analyse complex data ecosystems, translate findings into practical recommendations with senior data leaders, and support project teams to align delivery with organisational objectives. This role combines hands-on analysis with collaborative leadership, particularly during complex discovery, impact assessment, migration, data sourcing or project definition phases.
About the role:
- Lead and shape complex data analysis across financial services change initiatives, developing clear analytical approaches that support business, customer and regulatory outcomes.
- Support the optimisation and phasing of data sourcing to the Enterprise Data Model.
- Evaluate important business processes and identify data-driven improvement opportunities.
- Develop thoughtful analytical solutions to help address complex business challenges.
- Provide clear insights to cross-functional teams and senior stakeholders based on advanced data analysis.
- Help ensure analytical outputs align with business strategies and regulatory requirements.
- Support data quality assessments, impact assessments, migrations and improvement initiatives, helping teams understand source-to-target data impacts, risks and dependencies.
- Coordinate the delivery of high-impact analytical projects, helping ensure timely completion and effective use of resources.
- Role model Royal London values across the GDAIO and broader organisation.
- Support, coach and provide technical guidance to Business Data Analysts, helping raise standards of analysis, documentation and delivery across the team.
- Encourage the use of data-driven decision-making practices across the organisation.
- Contribute to initiatives that improve data literacy and analytical capability across business areas.
About you:
- Significant experience as a Business Data Analyst, Data Analyst or similar role within financial services or another highly regulated environment, ideally gained over 10+ years.
- Experience delivering complex analytical projects with multiple stakeholders, systems and interdependencies; migration, platform transformation or legacy system experience would be particularly valuable.
- Knowledge of Agile ways of working and how they can support analytical delivery.
- Good understanding of data lifecycle management and governance.
- Practical experience with data visualisation tools, SQL, cloud-based data platforms, or statistical software.
- Strong analytical and problem-solving skills, with the ability to turn complex data insights into clear business recommendations.
- Good organisational skills, including the ability to balance priorities and support effective delivery.
- Collaborative stakeholder management skills, with the ability to build effective relationships across different teams and levels of the organisation.
- Desirable: experience coaching, mentoring or leading other analysts, either through formal people leadership or technical delivery leadership.
We are particularly interested in hearing from experienced financial services data professionals who can bring depth, judgement and delivery confidence to a senior role. If you have strong analytical experience and are excited by the opportunity to influence complex data change at Royal London, we'd love to hear from you.
People leadership, coaching experience and migration experience are desirable, but not essential.
About Royal London
We're the UK's largest mutual life, pensions and investment company, offering protection, long-term savings and asset management products and services. Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve. We've always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance.
Inclusion, diversity and belonging
We're an inclusive employer. We celebrate and value different backgrounds, perspectives and experiences across Royal London. We welcome applications from people of all backgrounds and are committed to creating a workplace where everyone can feel included, respected and able to thrive.
Women in Data advertise roles on behalf of our partners, alliances, and members. We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK - visit: www.womenindata.co.uk to join our community.
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Senior Business Data Analyst (Migrations) employer: Women in Data®
Women in Data® is an exceptional employer that champions diversity and innovation within the tech industry. With a strong commitment to employee growth, you will benefit from generous annual leave, ongoing development opportunities, and a collaborative work culture that values mentorship and technical excellence. Join us in a role that not only enhances your career but also contributes to meaningful initiatives in data and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Business Data Analyst (Migrations)
✨Get to Grips with Data Visualisation Tools
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✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
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We think you need these skills to ace Senior Business Data Analyst (Migrations)
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Women in Data®, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Women in Data®
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Women in Data®’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
