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Senior Data Business Analyst

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Pacific Asset Management, LLC
Full Time position
Listed on 2026-06-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Warehousing, Data Engineer, Data Security
Salary/Wage Range or Industry Benchmark: 100000 - 125000 GBP Yearly GBP 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Overview

Senior Data Business Analyst role within a well established reinsurance organisation investing in its permanent internal data capability to meet growing demand across underwriting, operations, and finance. This is a senior, high impact role where you will help shape how data is defined, governed, and used across the enterprise. You’ll sit at the intersection of business analysis, data architecture, and enterprise change, working closely with senior stakeholders, data architects, and engineering teams to turn complex data challenges into clear, governed, and scalable outcomes.

This role is ideal for a Senior Data Business Analyst who enjoys operating in a structured, regulated environment, influencing how data works at an organisational level rather than delivering reports in isolation.

Responsibilities
  • Leading Data Led Change: Lead the initiation, discovery, and delivery of data focused initiatives across multiple business domains.
  • Apply structured business analysis and change management approaches within a governance led delivery environment.
  • Take ownership of smaller data projects and enhancements from early discovery through to business as usual adoption.
  • Contribute to the ongoing evolution of data BA standards, tooling, and ways of working across the organisation.
  • Data Architecture Aware Business Analysis: Capture and define requirements with a data architecture mindset, ensuring solutions are scalable, consistent, and fit for purpose.
  • Work confidently with:
    Conceptual, logical, and physical data models;
    Data warehousing and analytical data platforms;
    The distinction between data dictionaries and data glossaries;
    Master data vs reference data.
  • Define requirements using data flows, lineage, source to target mappings, and reporting specifications.
  • Act as a critical bridge between business stakeholders and Data Architecture / Engineering teams, ensuring shared understanding and alignment. This role contributes to data architecture through high quality requirements, rather than owning solution design.
  • Data Governance & Data Quality: Embed data governance principles into delivery, including data ownership, standards, and controls.
  • Support data quality assessments, issue identification, and remediation definition.
  • Drive consistent data definitions and usage across domains.
  • Ensure delivery aligns with enterprise data strategy and regulatory expectations.
  • Stakeholder Engagement & Influence: Engage with stakeholders at all levels, including senior leadership.
  • Translate complex data concepts into clear, pragmatic recommendations that support decision making.
  • Support adoption, change, and transition of data solutions into BAU.
  • Act as a trusted advisor on data related decisions across the business.
What success looks like
  • Clear, agreed data definitions and specifications that reduce ambiguity across business areas.
  • Data governance being embedded into delivery, not treated as an afterthought.
  • Improved visibility of data quality issues and agreed remediation approaches.
  • Strong relationships between business, data architecture, and engineering teams.
  • Stakeholders trusting data outputs and the decisions built on them.
What we’re looking for
  • Essential experience: Proven experience as a Senior Business Analyst delivering data centric initiatives.
  • Strong conceptual understanding of data architecture and data warehousing (hands on delivery not required).
  • Experience working in structured, governance heavy delivery environments.
  • Ability to explain complex data concepts clearly to both technical and non technical audiences.
  • Desirable experience: Insurance experience (London Market desirable but not essential; wider insurance backgrounds welcomed).
  • Exposure to SQL, Power BI, SSRS, or similar data and BI technologies.
  • Experience partnering closely with Data Architecture teams.
  • Familiarity with tools such as Visio, Azure Dev Ops, JIRA, Confluence, Miro.
Working For

Pacific Life Re

Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step. We work hard and thrive on achievement, but we also know how to have fun…

Position Requirements
10+ Years work experience
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