Pacific Life Re
SeniorDataBusinessAnalyst
“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
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