Business Analyst

Cliente Anonimo; England; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading insurance firm in England is seeking an experienced Data Analyst to support data solutions for business intelligence and reporting tasks. The ideal candidate will have experience in data migration and a strong understanding of insurance operations. Responsibilities include analyzing data requirements, collaborating with technical teams, and performing data validation. This role offers an opportunity to contribute to significant projects while growing in a dynamic environment.

Qualifications

• Proven experience as a Data or Business Analyst in data migration or reporting projects.
• Solid understanding of core insurance operations and related data structures.
• Strong analytical thinking and problem-solving skills.

Responsibilities

• Analyze and document business requirements related to insurance data.
• Collaborate with stakeholders to validate data requirements.
• Perform detailed data analysis and develop data validation strategies.

Skills

Data analysis

Data mapping

SQL

Stakeholder engagement

Documentation

Education

Bachelor's degree in Computer Science or related field

Tools

ETL tools

Job description

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.