Analytics Engineer

Pacific Life

. Develop and deploy AI and analytics solutions, including generative AI applications, workflow automation, knowledge assistants, and decision-support tools .

Posted 10/12/2026full-timeUnited StatesMid-LevelSenior💰 $103,140 - $126,060 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying AI and analytics solutions, with a strong focus on Python, SQL, and Snowflake. Capable of translating business needs into scalable data and analytics capabilities while championing best practices in responsible AI and data governance.

Highest-signal resume keywords

Python DevelopmentSQL ProficiencySnowflake ExpertiseGenerative AI FamiliarityAnalytics Engineering Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningData EngineeringStatisticsWorkflow AutomationDashboard CreationData ModelingAnalytics ProductsPrompt EngineeringRAG

Soft Skills

Strong CommunicationProblem-SolvingCollaboration

Tools & Technologies

Snowflake CortexStreamlitReactMicrosoft CopilotClaude CodeGithub CopilotPower BITableauAlteryxDbt

Industry Keywords

InsuranceFinancial ServicesRegulated Industry

Tech Stack

Tools & technologies

PythonReactSQLTableau

About the role

Key responsibilities & impact

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 supporting 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

Requirements

What you’ll need

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

Benefits

Comp & perks

Medical, Dental, Vision, and Wellbeing Reimbursement Account
Paid Time Off
Holiday Schedules
Financial Planning Time Off
Paid Parental Leave
Adoption Assistance Program
Competitive 401k savings plan with company match
Additional 401k contribution regardless of participation