Sr. Business Analyst II - Advanced Analytics

Job Description:

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead – our policyholders count on us to be there when it matters most. It’s a big ask, but it’s one that we have the power to deliver when we work together. We collaborate and innovate – pushing one another to transform not just Pacific Life, but the entire industry for the better.

Why? Because it’s the right thing to do. Pacific Life is more than a job; it’s a career with purpose. It’s a career where you have the support, balance, and resources to make a positive impact on the future – including your own.

We're actively seeking a talented Sr. Business Analyst to join our Advanced Analytics team. This role is on-site 4 days per week and work from home 1 day per week in Newport Beach, CA. If you are not currently located near one of our offices, we offer comprehensive relocation assistance.

As a Sr. Business Analyst, you'll serve as the business-facing partner for Advanced Analytics across our Consumer Markets Division. Sitting at the front of the house, you'll uncover business initiatives, pain points, and value drivers across Finance, Underwriting, Sales, Product, and Fraud — then orchestrate the right analytics solutions by engaging our Analytics Engineering, Data Visualization, and Data Science teams. You'll own each initiative end-to-end against a delivery timeline and continue evolving solutions long after launch.

Success in this role depends on close collaboration — uniting business stakeholders, Analytics Engineering, Data Visualization, and Data Science teams around a shared goal and ensuring every team is aligned on priorities, scope, and outcomes.

How you’ll help us move forward:

Build trusted relationships with stakeholders across Finance, Underwriting, Sales, Product, and Fraud — becoming the go-to analytics partner for each vertical.

Uncover business initiatives, pain points, and value measurements through active discovery — diagnosing the real problem before any solution is scoped.

Translate business needs into clear analytics requirements, success criteria, and prioritized delivery roadmaps that align to enterprise goals.

Orchestrate delivery by engaging Analytics Engineering, Data Visualization, and Data Science teams — defining scope, sequencing work, and removing blockers without taking on hands-on build responsibilities.

Own each initiative end-to-end against a defined delivery timeline — managing milestones, risks, and stakeholder communication from intake through adoption.

Drive continuous improvement post-launch by tracking adoption, capturing feedback, and partnering with delivery teams on enhancements that evolve solutions over time.

Measure and communicate ROI — defining benefit metrics up front and reporting realized business value back to stakeholders and leadership.

Build deep domain expertise within supported verticals to anticipate needs, challenge assumptions, and recommend higher-value analytics opportunities.

Stay current on AI agents, GenAI tooling, and modern analytics patterns — identifying practical use cases that solve business problems.

The experience you bring:5–8 years of experience as a Business Analyst, Analytics Manager, Solutions Owner, Analytics Delivery Manager, Product Owner, or similar business-facing analytics role.
4-year degree or equivalent experience.

Proven ability to engage business stakeholders, diagnose pain points, and translate needs into clear analytics requirements and delivery plans.

Demonstrated experience owning analytics initiatives end-to-end — managing scope, milestones, risks, and stakeholder communication across multiple teams.

Strong working understanding of Snowflake (or comparable cloud data warehouse) as a consumer — able to navigate data structures, validate outputs, and communicate fluently with engineering partners.

Strong working understanding of modern BI platforms (Tableau and Power BI) — able to interpret dashboards, validate visualizations, and partner effectively with visualization teams.

Experience partnering with Analytics Engineering, Data Engineering, or Data Visualization teams to deliver analytics products.

Track…