Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead complex data analysis and develop dashboards for strategic business insights.
- 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.
- Why this job: Be part of a dynamic team driving data-informed decisions in a supportive culture.
- Qualifications: Expertise in data analysis, proficiency in tools like Excel, Python, and SQL required.
- Other info: Hybrid working model with a focus on inclusion and diversity.
The predicted salary is between 36000 - 60000 £ per year.
We have a fantastic opportunity for a Senior Data Analyst to join our Business Quality Control Team here at Royal London. This position is responsible for leading complex data analysis, developing analytical methodologies and data visualisations, and providing strategic insights to support critical business decisions. The role combines deep analytical expertise, ensuring the highest standards of data quality, accuracy, and integrity across the organisation. The Senior Data Analyst will be responsible for the design, development, production and ongoing maintenance of our Business Quality dashboards. This role will also be instrumental in developing and refining processes using and transforming complex datasets into actionable business insight across our Business Quality and Credit Management Teams.
The Business Quality Team is responsible for monitoring commercial and customer risks related to distributor behaviour, across both our Protection and Pensions business and making effective decisions to manage our risk exposure. The team use internal and external data and insight to influence and challenge advisers to deliver the best outcomes for our customers, in line with Consumer Duty and to ensure the business being written through our distributors is commercially viable. In addition, we work closely with our Distribution colleagues and provide them with timely and relevant MI to support their adviser conversations.
About the role
- Lead and define on the data methodology underpinning the Business Quality Dashboards and wider Business Quality Control requests
- Production of the Business Quality dashboards and additional Business Quality Control reporting
- Ensure Business Quality MI meets high standards of data quality requirements
- Providing SME support to non-technical users on Business Quality MI
- Document data methodology for all data tools developed within the Business Quality Control Team
- Lead the development of the dashboards to equip needs of Business Quality Team and wider stakeholders
- Define and develop strategic data tools to inform our Business Quality Control processes and decision-making
- Evaluate critical business processes and develop data-driven improvement strategies
- Carry out data quality assessments and improvement initiatives relating to our Business Quality and Credit Management MI
- Data-driven business process optimisation reviews
- Development of analytical models and frameworks to support automated control automation
About you
- Proven expertise in advanced data analysis and manipulating large datasets (preferably in financial services)
- Experience leading analytical projects
- Comprehensive understanding of data lifecycle management and governance
- Advanced proficiency in data manipulation and visualisation tools including Excel, VBA, Python, R, Power BI and SQL
- Exceptional analytical and problem-solving skills, with the ability to translate complex data insights into strategic business recommendations
- Excellent stakeholder management skills, with the ability to influence and collaborate effectively at all levels of the organisation
- Analytical leadership style with the ability to inspire and guide cross-functional teams
- Outstanding communication skills, capable of articulating complex analytical concepts to both technical and non-technical audiences
- Strategic thinker with a proven track record of driving data-informed decision-making
- Resilient and adaptable, thriving in fast-paced, high-pressure environments
- Demonstrates a balance of strategic thinking and hands-on analytical problem-solving abilities
- Advocates for innovation and continuous improvement in data analysis practices
- Strong interpersonal skills enabling effective collaboration with stakeholders within Royal London and external third parties
- Ability to work independently and as part of a team
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.
We’re an Inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected – whatever their background.
Senior Data Analyst - Business Quality employer: Royal London
Contact Detail:
Royal London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Business Quality
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as Power BI, SQL, and Python. Having hands-on experience or projects showcasing your skills with these tools can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your previous experience leading analytical projects. Think of specific examples where your insights directly influenced business decisions, as this will demonstrate your ability to drive data-informed strategies.
✨Tip Number 3
Showcase your stakeholder management skills by preparing examples of how you've effectively collaborated with both technical and non-technical teams. This role requires excellent communication, so be ready to illustrate your ability to bridge gaps between different audiences.
✨Tip Number 4
Research Royal London’s values and recent initiatives related to data quality and governance. Being able to align your personal values with those of the company can make a strong impression and show that you're genuinely interested in contributing to their mission.
We think you need these skills to ace Senior Data Analyst - Business Quality
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in advanced data analysis and your proficiency with tools like Excel, Python, and SQL. Emphasise any previous roles where you led analytical projects or developed dashboards.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data analysis and how your skills align with the responsibilities of the Senior Data Analyst role. Mention specific examples of how you've used data to drive business decisions.
Showcase Your Analytical Skills: Provide concrete examples of your analytical expertise in your application. Discuss any complex datasets you've worked with and how you transformed them into actionable insights, particularly in financial services if applicable.
Highlight Stakeholder Management Experience: Since the role requires excellent stakeholder management skills, include examples of how you've influenced and collaborated with various teams. This will demonstrate your ability to communicate complex concepts effectively.
How to prepare for a job interview at Royal London
✨Showcase Your Analytical Skills
Prepare to discuss your experience with advanced data analysis and how you've manipulated large datasets in previous roles. Be ready to provide specific examples of analytical projects you've led, especially in financial services.
✨Demonstrate Data Visualisation Proficiency
Familiarise yourself with the data manipulation and visualisation tools mentioned in the job description, such as Excel, Power BI, and SQL. Consider bringing a portfolio of dashboards or reports you've created to showcase your skills.
✨Communicate Effectively
Practice articulating complex analytical concepts in simple terms. You may encounter both technical and non-technical stakeholders during the interview, so being able to adjust your communication style is key.
✨Emphasise Stakeholder Management
Be prepared to discuss your experience in managing relationships with various stakeholders. Highlight instances where you've influenced decisions or collaborated effectively across teams, as this is crucial for the role.
