Pacific Life Re
SeniorDataBusinessAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“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.
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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