Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data to deliver impactful solutions for clients in the insurance industry.
- Company: Join a dynamic team transforming the insurance sector with data-driven insights.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real difference by leveraging your analytical skills in a collaborative environment.
- Qualifications: Experience in data analysis and understanding of insurance operations is essential.
- Other info: Exciting projects await you in a supportive and innovative workplace.
The predicted salary is between 28800 - 48000 £ per year.
This role plays a key part in delivering high-impact data solutions to our clients, supporting business intelligence, data migration and reporting initiatives across core insurance domains. The ideal candidate will have a strong analytical mindset, a solid understanding of insurance operations, and hands-on experience working with data throughout its lifecycle — from analysis and mapping through to validation and user acceptance testing. You will work closely with cross-functional teams including project managers, actuaries, data engineers, and business stakeholders to ensure that data solutions meet business needs and quality standards.
This is a great opportunity to contribute to transformational projects within the insurance industry, leveraging your skills in data analysis, stakeholder engagement, and documentation, while growing within a dynamic and collaborative environment.
Key Responsibilities- Analyze and understand business requirements related to core insurance data (e.g., policies, claims, customers, billing) to support modeling, data migration, reporting, and analytics initiatives.
- Collaborate with business stakeholders (such as business analysts, project managers, actuaries, and finance teams) and technical teams to document and validate data requirements.
- Define, document, and maintain comprehensive data mapping specifications, including source-to-target field mappings, transformation rules, data cleansing logic, and validation criteria.
- Perform detailed data analysis to identify data structures, relationships, quality issues, and anomalies across various source systems.
- Translate business rules and requirements into clear, actionable specifications for data development teams (e.g., ETL, reporting).
- Work closely with developers and data engineers to ensure that implemented data solutions meet business needs and functional expectations.
- Develop and execute data validation strategies and test cases to ensure data accuracy, consistency, and completeness.
- Support User Acceptance Testing (UAT) by helping business users validate data outputs and reports.
- Identify, investigate, and help resolve data issues, discrepancies, and defects throughout the data lifecycle.
- Maintain thorough documentation, including data dictionaries, mapping documents, process flows, and project status updates.
- Proven experience as a Data or Business Analyst, preferably in data migration and/or reporting projects within the insurance industry.
- Solid understanding of core insurance operations (e.g., policy administration, claims, underwriting, billing) and related data structures.
- Strong skills in data analysis, data profiling, and data mapping (source-to-target).
- Proficiency in SQL for data extraction, analysis, and validation.
- Demonstrated ability to define and document detailed data transformation rules and validation criteria.
- Excellent analytical thinking, problem-solving, and attention to detail.
- Strong written and verbal communication skills, with the ability to engage and collaborate effectively with both technical and non-technical stakeholders.
- Comfortable working in English Language on a daily basis, both spoken and written form.
- Ability to translate complex business requirements into clear functional and technical documentation.
- Experience with core insurance systems (e.g., Guidewire, Duck Creek, Insis, SICS, Insurity, or other legacy/modern platforms).
- Familiarity with ETL tools and processes used in data migration or data integration projects.
- Understanding data governance, metadata management, and data quality best practices.
- Experience in Agile, Scrum, or hybrid delivery methodologies.
- Knowledge of data warehousing, data visualization, and business intelligence tools.
- Bachelor's degree in Computer Science, Information Systems, Business, Actuarial Science, or related field.
Business Analyst in London employer: Cliente Anonimo
Contact Detail:
Cliente Anonimo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst in London
✨Network Like a Pro
Get out there and connect with people in the insurance industry! Attend events, join online forums, or even hit up LinkedIn. The more you engage with others, the better your chances of hearing about job openings that might not even be advertised.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share specific examples of how you've tackled data challenges in the past. This is your moment to shine and show them why you're the perfect fit for their team.
✨Tailor Your Approach
Every company is different, so make sure you tailor your conversations to match their needs. Research their projects and challenges, and come prepared with ideas on how you can help them achieve their goals. It shows initiative and that you’re genuinely interested!
✨Apply Through Our Website
Don’t forget to check out our website for the latest job openings! Applying directly through us not only makes it easier but also gives you a better chance of standing out. We’re always on the lookout for talented individuals like you!
We think you need these skills to ace Business Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Business Analyst. Highlight your experience with data analysis, insurance operations, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about the insurance industry and how your analytical mindset can contribute to our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Skills: Don’t forget to mention your SQL proficiency and any experience with data mapping or validation. We’re keen on seeing how you’ve tackled data challenges in the past, so share specific examples that demonstrate your problem-solving abilities.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Cliente Anonimo
✨Know Your Data Inside Out
Make sure you brush up on your data analysis skills and understand the core insurance operations. Be ready to discuss how you've handled data migration and reporting projects in the past, as this will show your hands-on experience and analytical mindset.
✨Speak Their Language
Familiarise yourself with the terminology used in the insurance industry and the specific tools mentioned in the job description, like SQL and ETL processes. This will help you communicate effectively with both technical and non-technical stakeholders during the interview.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or describe how you would handle specific data issues. Think of examples from your previous work where you identified data discrepancies or engaged with cross-functional teams to resolve challenges.
✨Showcase Your Documentation Skills
Be prepared to discuss how you maintain thorough documentation, including data mapping specifications and process flows. Highlight any experience you have with creating clear functional and technical documentation, as this is crucial for the role.
