Pacific Life

1001 – 5000 Zaposleni

Sponzor vizuma H1B Finance Pokojninske storitve Zavarovanje

Pacific Life je družba za finančne storitve in zavarovanje, ki se osredotoča na pomoč posameznikom, družinam, podjetjem in ustanovam pri pripravi na prihodnost. Njena ponudba vključuje življenjsko zavarovanje, rente, rešitve za upokojitev in ugodnosti za zaposlene. Družba, ustanovljena leta 1868, združuje dolgoletne izkušnje na področju finančne zaščite z osredotočenostjo na razvoj izdelkov, ki podpirajo dolgoročno finančno varnost in pomembne rezultate za svoje stranke.

Delovna mesta v podjetju

Analytics Engineer

Build AI, analytics, and Snowflake solutions for Pacific Life’s insurance and annuity businesses. Use Python, SQL, and generative AI to automate workflows and support decisions.

pred 1 dnevom

Združene države Amerike

Kalifornija

Nebraska

Severna Karolina

103.140 $ – 126.060 $ / leto

Hibridno Polni delovni čas Srednja raven Senior Zahtevani Jezik: angleščina Inženir analitike

Python React SQL Tableau

Opis

Develop AI and analytics products, from generative AI apps and knowledge assistants to workflow automation and decision-support tools.
Work with Product Development Actuaries to turn business needs into scalable data, analytics, and AI capabilities.
Create and maintain data models, pipelines, and Snowflake assets for reporting, analytics, and AI tools.
Build dashboards that help teams make timely decisions.
Use Python and SQL to automate processes, improve data solutions, and increase efficiency.
Guide AI initiatives from initial concept through launch, adoption, and ongoing refinement.
Promote sound practices in analytics engineering, responsible AI, and data governance.

Zahteve

Hold a bachelor’s or master’s degree in data science, statistics, computer science, engineering, mathematics, or a related field, or have equivalent experience.
Bring at least three years of experience in analytics, statistics, data engineering, data science, machine learning, AI, or a related discipline.
Have experience with SQL, Python, Snowflake, and dbt.
Be familiar with generative AI, large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), machine learning, and workflow automation.
Have built dashboards, analytics products, or data-driven business solutions.
Communicate clearly, solve problems effectively, and collaborate with technical and business teams.
Preferred: Experience with tools 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: Background in insurance, financial services, or another highly regulated industry.

Ugodnosti

Medical, dental, vision, and a wellbeing reimbursement account.
Paid time off.
Holiday schedules.
Financial planning time off.
Paid parental leave.
Adoption assistance program.
Competitive 401(k) savings plan with a company match.
Additional 401(k) contribution, regardless of participation.

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