Analytics Engineer

Sorry, this job was removed at 09:01 p.m. (UTC) on Wednesday, Oct 14, 2026
3 Locations
In-Office
89K-126K Annually
Mid level
Financial Services
The Role
Develop and deploy AI, analytics, and workflow automation solutions for insurance product development. Build data models, pipelines, Snowflake assets, dashboards, and Python- and SQL-based tools. Partner with actuaries and business teams to translate needs into scalable analytics and AI capabilities, supporting solutions from concept through deployment and iteration while promoting responsible AI and data governance.
Summary Generated by Built In

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 Analytics Engineer to join our Product Analytics team. Our team of 4 is based in Newport Beach, CA. This role is on-site 4 days per week and work from home 1 day per week in Newport Beach, CA, Omaha, NE, or Charlotte, NC.

As an Analytics Engineer, you’ll move Pacific Life, and your career, forward by bridging the gap between our Life Insurance and Annuity business, analytics, and data engineering to deliver tools and AI solutions that enhance decision-making across CMD Product Development.
What You'll Do

  • Develop and deploy AI and analytics solutions, including generative AI applications, workflow automation, knowledge assistants, and decision-support tools.
  • Partner with Product Development Actuaries to translate business needs into scalable data, analytics, and AI capabilities.
  • Design and maintain data models, pipelines, and Snowflake assets that support reporting, analytics, and AI tools.
  • Create dashboards that drive quick decision making.
  • Build and maintain Python- and SQL-based solutions to automate processes, enhance data solutions, and increase efficiency.
  • Support AI initiatives from concept through deployment, adoption, and continuous iteration.
  • Champion best practices in analytics engineering, responsible AI, and data governance.

What You'll Bring

  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related field, or equivalent experience.
  • 3+ years of experience in analytics, statistics, data engineering, data science, machine learning, AI, or a related discipline.
  • Experience with SQL, Python, Snowflake, and dbt.
  • Familiarity with generative AI, large language models (LLMs), prompt engineering, RAG, machine learning, and workflow automation.
  • Experience building dashboards, analytics products, or data-driven business solutions.
  • Strong communication and problem-solving skills with the ability to collaborate across technical and business teams.

Preferred Qualifications

  • Experience with platforms such as Snowflake Cortex, Streamlit, React, Microsoft Copilot, Claude Code, Github Copilot, Power BI, Tableau, or Alteryx.
  • Experience developing AI assistants, copilots, agents, or other production-ready AI solutions.
  • Experience in insurance, financial services, or a highly regulated industry.

Salary Ranges per Location:

  • Newport Beach, CA: $103,140 - $126,060
  • Omaha, NE: $89,010 - $108,790
  • Charlotte, NC: $93,690 - $114,510

The range above reflects the role currently scoped. If you bring more experience than outlined here, please apply and tell us about it. Level and compensation will be considered in line with the experience you bring.

Base Pay Range:

The base pay range noted represents the company’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay.

$103,140.00 - $126,060.00

Your Benefits Start Day 1  
 

Your wellbeing is important to Pacific Life, and we’re committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we’ve got you covered.

  • Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents

  • Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off

  • Paid Parental Leave as well as an Adoption Assistance Program

  • Competitive 401k savings plan with company match and an additional contribution regardless of participation

You Can Be Who You Are

We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential.

What’s life like at Pacific Life? Visit Instagram.com/lifeatpacificlife

EEO Statement:

Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

Skills Required

  • Bachelor’s or master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, a related field, or equivalent experience
  • 3+ years of experience in analytics, statistics, data engineering, data science, machine learning, AI, or a related discipline
  • Experience with SQL
  • Experience with Python
  • Experience with Snowflake
  • Experience with dbt
  • Familiarity with generative AI, large language models, prompt engineering, RAG, machine learning, and workflow automation
  • Experience building dashboards, analytics products, or data-driven business solutions
  • Strong communication and problem-solving skills with the ability to collaborate across technical and business teams
  • Experience with Snowflake Cortex, Streamlit, React, Microsoft Copilot, Claude Code, GitHub Copilot, Power BI, Tableau, or Alteryx
  • Experience developing AI assistants, copilots, agents, or other production-ready AI solutions
  • Experience in insurance, financial services, or a highly regulated industry

Pacific Life Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Pacific Life and has not been reviewed or approved by Pacific Life.

  • Retirement Support — Retirement funding includes both an automatic company contribution and a dollar‑for‑dollar 401(k) match, positioned as a standout element of the package. Vesting is defined at three years in official materials.
  • Leave & Time Off Breadth — Time off is described as generous and scalable with tenure, complemented by multiple paid holidays and options to augment PTO. Paid parental leave and adoption assistance further extend coverage for families.
  • Wellbeing & Lifestyle Benefits — A flexible annual wellbeing reimbursement supports diverse needs alongside counseling resources and wellness tools. Day‑one eligibility for core coverages adds immediate lifestyle value.

Pacific Life Insights

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The Company
HQ: Newport Beach, CA
3,447 Employees
Year Founded: 1868

What We Do

For more than 150 years, Pacific Life has helped millions of individuals and families with their financial needs through a wide range of life insurance products, annuities, and mutual funds, and offers a variety of investment products and services to individuals, businesses, and pension plans. Whether your goal is to protect loved ones or grow your assets for retirement, Pacific Life offers innovative products and services that provide value and financial security for current and future generations. Pacific Life counts more than half of the 100 largest U.S. companies as its clients and has been named one of the 2022 World’s Most Ethical Companies® by the Ethisphere Institute. For additional company information, including current financial strength ratings, visit www.PacificLife.com. Pacific Life refers to Pacific Life Insurance Company and its affiliates, including Pacific Life & Annuity Company. Client count as of June 2022 is compiled by Pacific Life using the 2022 FORTUNE 500® list. Learn more about Pacific Life: www.instagram.com/pacificlife www.twitter.com/pacificlife www.facebook.com/PacificLife www.youtube.com/user/PacificLifeInsurance Please review our social media guidelines: paclife.co/social

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