Pacific Life Re

SeniorDataBusinessAnalyst

£75–110k ~AI est. London, United Kingdom FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Business Analyst at Pacific Life Re. Skills: Data architecture, Data governance, Business analysis. Lead data focused initiatives. Apply business analysis approaches”

What You'll Achieve.

Clear data definitions; Agreed data specifications; Reduce ambiguity; Embed data governance into delivery; Improved visibility of data quality issues; Agreed remediation approaches; Build relationships between teams; Stakeholders trust data outputs; Stakeholders trust decisions built on data

Industry & Context.

Problems you'll solve

Turn complex data challenges into outcomes

What They're Looking For.

Must Have

Proven experience as Senior Business Analyst, Experience delivering data centric initiatives, Conceptual understanding of data architecture, Conceptual understanding of data warehousing, Experience in structured environments, Experience in governance heavy delivery environments, Ability to explain complex data concepts

Nice to Have

Insurance experience, SQL proficiency, Power BI proficiency, SSRS proficiency, Experience partnering with Data Architecture teams, Familiarity with Visio, Familiarity with Azure DevOps, Familiarity with JIRA, Familiarity with Confluence, Familiarity with Miro

What You'll Do.

Lead data focused initiatives

Apply business analysis approaches

Apply change management approaches

Take ownership of data projects

Take ownership of data enhancements

Contribute to data BA standards

Contribute to data BA tooling

Contribute to data BA ways of working

Work with data models

Work with data warehousing

Work with analytical data platforms

Define source to target mappings

Define reporting specifications

Bridge business stakeholders and Data Architecture

Bridge business stakeholders and Engineering teams

Embed data governance principles

Support data quality assessments

Support issue identification

Support remediation definition

Drive consistent data definitions

Drive consistent data usage

Ensure delivery aligns with enterprise data strategy

Ensure delivery aligns with regulatory expectations

Engage with stakeholders

Translate complex data concepts

Support adoption of data solutions

Support transition of data solutions

How You'll Work.

Team & Collaboration

Senior stakeholders; Data architects; Engineering teams; Business; Data architecture; Engineering teams

Communication Scope

Explain complex data concepts

Process & Methodology

Change management

Full Job Description

**Job Title** Senior Data Business Analyst ****Job Description**** A well established reinsurance organisation is 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. **What you’ll be doing** **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: o Conceptual, logical, and physical data models o Data warehousing and analytical data platforms o The distinction between data dictionaries and data glossaries o 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 co

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