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- Tasks: Analyse data and collaborate with teams to deliver impactful solutions in the insurance sector.
- Company: Join a leading insurance firm focused on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real difference in the insurance industry while developing your analytical skills.
- Qualifications: Experience in data analysis and a solid understanding of insurance operations required.
- Other info: Dynamic work environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ 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- Analyse 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.
- Must-Haves: 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 employer: Cliente Anonimo
Contact Detail:
Cliente Anonimo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance industry and let them know you're on the hunt for a Business Analyst role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by brushing up on your data analysis skills and understanding of core insurance operations. Be ready to discuss how you've tackled data migration and reporting projects in the past, as this will show you're the right fit for the role.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for openings that match your skills and interests, and make sure to tailor your approach to each opportunity.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Use this opportunity to reiterate your enthusiasm for the role and how your skills can contribute to their data solutions.
We think you need these skills to ace Business Analyst
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 Technical Skills: Don’t forget to mention your proficiency in SQL and any experience with data mapping or ETL tools. We’re keen on candidates who can demonstrate their technical abilities, so be specific about your hands-on experience and projects.
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 to be asked about how you would approach real-world scenarios related to data validation and user acceptance testing. Think of examples from your previous work where you identified data issues or collaborated with cross-functional teams to solve problems.
✨Showcase Your Documentation Skills
Be prepared to discuss how you maintain thorough documentation, such as data mapping specifications and process flows. Highlight any experience you have in translating complex business requirements into clear functional documentation, as this is crucial for the role.
