Analytics Engineer

Pacific Life Insurance Company; Omaha (NE); Hybrid; USD 89,000 - 109,000; Full time

Benefits offered by this job

Medical benefits

PTO & planning

Parental leave

Adoption assistance

401(k) matching

Benefits from day 1

Job summary

Pacific Life Insurance Company in Omaha, NE is hiring an Analytics Engineer to connect Life Insurance and Annuity analytics with data engineering, building AI capabilities, data models and Snowflake assets, and creating dashboards.

The role involves Python- and SQL-based automation, collaboration with Product Development Actuaries, and governance-focused analytics with a strong emphasis on responsible AI.

Qualifications

• 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.

Responsibilities

• Develop and deploy AI and analytics solutions, including generative AI applications, workflow automation, knowledge assistants, and decision-support tools.
• Work 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 enable quick decision-making.
• Build and maintain Python- and SQL-based solutions to automate processes, improve data solutions, and increase efficiency.
• Support AI initiatives from concept through deployment, adoption, and continuous iteration.
• Promote best practices in analytics engineering, responsible AI, and data governance.

Job description

Pacific Life Insurance Company is hiring an Analytics Engineer to support its Product Analytics team, connecting Life Insurance and Annuity business needs with analytics and data engineering. In this hybrid role based in Omaha, NE, you will help build AI and analytics capabilities, from data models and Snowflake assets to dashboards and Python- and SQL-based automation that support decision-making within CMD Product Development.

The salary range for this position in Omaha, NE is USD 89,010 - 108,790 per year. A base pay range of $103,140.00 - $126,060.00 is also noted as the company’s good-faith minimum and maximum range at the time of posting, with final compensation depending on factors such as experience, qualifications, and geographic location. Additional incentive pay may be available.

What you’ll do

• Develop and deploy AI and analytics solutions, including generative AI applications, workflow automation, knowledge assistants, and decision-support tools.
• Work 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 enable quick decision-making.
• Build and maintain Python- and SQL-based solutions to automate processes, improve data solutions, and increase efficiency.
• Support AI initiatives from concept through deployment, adoption, and continuous iteration.
• Promote best practices in analytics engineering, responsible AI, and data governance.

Required qualifications

• 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.

Technologies you’ll work with

• Python
• SQL
• Snowflake
• dbt
• Generative AI
• Large language models (LLMs)
• Prompt engineering
• RAG
• Machine learning

Preferred qualifications

• Experience with platforms including 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.

Benefits

• Medical, Dental, Vision, and Wellbeing Reimbursement Account for you and eligible dependents.
• Paid Time Off, holiday schedules, and Financial Planning Time Off.
• Paid Parental Leave and an Adoption Assistance Program.
• Competitive 401k savings plan with company match and an additional contribution regardless of participation.
• Your benefits start day 1, with flexible wellbeing coverage you can tailor to your needs.

Pacific Life Insurance Company also states a culture of diversity and inclusion that supports employees, partners, and communities, and provides equal opportunity in employment (M/F/D/V). If you are a qualified individual with a disability or a disabled veteran, you may request an accommodation by contacting a Human Resources Representative.