At a Glance
- 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.
- Other info: Dynamic work environment with excellent career advancement opportunities.
- 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.
The predicted salary is between 40500 - 49500 £ 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.
- Required Skills
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 in a daily basis, both spoken and written form.
- Ability to translate complex business requirements into clear functional and technical documentation.
- Nice-to-Haves
- 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.
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Business Analyst employer: Cliente Anonimo
As a Business Analyst at our company, you will thrive in a dynamic and collaborative environment that values your analytical skills and expertise in the insurance industry. We offer a supportive work culture with ample opportunities for professional growth, allowing you to contribute to transformative projects while working alongside cross-functional teams. Our commitment to employee development and a focus on delivering high-impact data solutions makes us an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Cliente Anonimo!
✨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.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Business Analyst
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 Cliente Anonimo, 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 Cliente Anonimo
✨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 Cliente Anonimo’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.
