Business Data Analyst at Datonomy Solutions

Role Overview We are seeking an experienced  Senior Data & Business Analyst  to take end-to-end ownership of a large and complex  insurance policy data migration programme .

The role will be responsible for analysing, mapping, validating and reconciling commercial insurance policy data as it moves from legacy platforms through multiple integration and staging layers into a modern Policy Administration System.

This is a highly analytical, delivery-focused role requiring a combination of  business analysis, data analysis, insurance domain knowledge, data migration and integration experience .

The successful candidate must be comfortable operating at the intersection of  underwriting, business, data, integration and technology , translating complex insurance requirements into precise and testable technical data specifications.

Key Responsibilities Data Migration & Analysis

Take end-to-end ownership of policy data throughout the migration lifecycle.

• Analyse data originating from legacy insurance and policy administration platforms.

• Perform detailed  source-to-target data mapping  between legacy and target systems.

• Analyse and validate structured data payloads, including  JSON-based interfaces .

• Develop and maintain detailed:

Source-to-target mapping matrices

• Data dictionaries

• Data specifications

• Validation rules

• Requirements traceability matrices

• Identify transformation requirements between legacy and modern system structures.

• Analyse large and complex datasets to identify data anomalies, inconsistencies and migration risks.

• Ensure appropriate  data lineage, data integrity and semantic alignment  across systems.

Insurance & Underwriting Analysis

Interpret detailed underwriting specifications and translate them into technical data requirements.

• Analyse complex commercial insurance structures including:

Policy schedules

• Policy sections

• Cover information

• Endorsements

• Product structures

• Validation rules

• Underwriting business rules

• Ensure migrated data accurately represents the underlying insurance product and underwriting intent.

• Work closely with underwriting and business stakeholders to clarify policy and product requirements.

Data Quality & Migration Readiness

Define and perform pre-migration data validation.

• Identify and resolve data-quality issues before migration execution.

• Validate field formats, mandatory information, relationships and referential integrity.

• Establish migration readiness criteria.

• Identify policy records that do not meet migration requirements and coordinate remediation.

• Support automated migration and ingestion processes by ensuring that data meets required quality and format standards.

Reconciliation, Testing & Defect Management

Perform detailed end-to-end reconciliation between source systems, integration payloads, staging environments and target Policy Administration Systems.

• Validate migrated policy records against original source information.

• Investigate rejected or failed migration records.

• Perform  root-cause analysis  of data and migration defects.

• Manage defect and exception triage with technical and business teams.

• Support:

Migration testing

• Data-quality testing

• System integration testing

• User acceptance testing

• Migration dress rehearsals

• Production migration validation

• Produce migration reconciliation and exception reports.

Integration & Technical Analysis

Work across complex integration landscapes involving

Legacy systems

• APIs

• JSON interfaces

• Staging platforms

• Workflow platforms

• RPA solutions

• Policy Administration Systems

• Third-party vendor platforms

• Analyse interface specifications and identify mapping or integration inconsistencies.

• Work closely with developers and integration teams to resolve technical data issues.

• Support configuration of migration control and validation platforms.

• Assist with the design of automated validation, exception reporting and migration-control processes.

Stakeholder & Vendor Management

Engage with internal business and technology stakeholders including

Underwriters

• Business Analysts

• Data teams

• Developers

• Integration specialists

• Test teams

• Programme and Project Managers

• Work directly with external stakeholders including:

Binder Holders

• Brokers

• Third-party software providers

• Technology vendors

• Facilitate workshops to investigate data, mapping and migration issues.

• Coordinate resolution of dependencies and defects across multiple teams.

• Provide clear reporting on migration readiness, data quality, risks and outstanding issues.

Essential Experience

Strong experience as a  Senior Business Analyst, Data Business Analyst, Technical Business Analyst or Data Migration Analyst .

• Significant experience working on  large-scale data migration or system transformation programmes .

• Strong experience with:

Data analysis

• Data mapping

• Source-to-target mapping

• Data reconciliation

• Data-quality analysis

• Data validation

• Data migration testing

• Defect management

• Experience working with large and complex datasets.

• Experience translating business requirements into detailed technical and data specifications.

• Experience analysing structured integration payloads such as  JSON .

• Experience working across multiple systems, interfaces and integration layers.

• Strong understanding of legacy-to-modern system migration principles.

• Experience creating technical mapping matrices, data dictionaries and validation specifications.

• Strong root-cause analysis and exception-management capability.

• Experience working within Agile technology delivery environments.

Insurance Experience Strong experience within  short-term/general insurance  is highly desirable.

Candidates should ideally understand

Commercial insurance products

• Policy administration

• Policy schedules

• Policy sections and covers

• Endorsements

• Underwriting rules

• Policy validation rules

• Insurance product structures

• Broker and Binder Holder environments

Highly Advantageous Technology Experience Exposure to any of the following would be advantageous:

Guidewire PolicyCenter

• Guidewire platforms

• Appian

• RPA / Robotic Process Automation

• JSON APIs and interfaces

• Insurance policy migration platforms

• Mainframe-to-modern platform migrations

• Migration control or staging platforms

Core Skills

Data Migration

• Business Analysis

• Data Analysis

• Source-to-Target Mapping

• Data Mapping

• Data Modelling

• Data Reconciliation

• Data Validation

• Data Quality

• Data Lineage

• Data Governance

• Requirements Analysis

• Technical Business Analysis

• Integration Analysis

• JSON

• APIs

• Interface Analysis

• Data Transformation

• Migration Testing

• Defect Management

• Root Cause Analysis

• Exception Management

• Requirements Traceability

• Insurance Policy Administration

• Commercial Insurance

• Short-Term Insurance

• Underwriting

• PolicyCenter

• Appian

• RPA

Personal Attributes The successful candidate will demonstrate:

Exceptional analytical and problem-solving ability

• Very strong attention to detail

• Ability to identify subtle data anomalies

• Strong written documentation skills

• Ability to translate complex concepts into precise specifications

• Strong stakeholder engagement and facilitation skills

• Confidence working with both senior business stakeholders and highly technical teams

• Strong ownership and delivery orientation

• Ability to work independently

• Ability to manage multiple dependencies and competing priorities

• Strong communication and issue-resolution skills

Ideal Candidate Profile The ideal candidate is a  senior-level hybrid Data and Business Analyst with strong insurance data migration experience .

They will have previously worked on projects involving the migration of policy or financial-services data between legacy and mo