Analytics Product Engineer, Consultant

Blue Shield of CA; Phoenix (AZ); On-site; USD 130,000 - 170,000; Full time

Job summary

Blue Shield of CA is hiring an Analytics Product Engineer to build user-facing analytics and AI experiences in healthcare products. You will craft React- and TypeScript-based dashboards, interactive data views, and embedded analytics agents to help users understand data, investigate causes, and take the next action.

You will work with a cross-functional team including Product, Design, AI/Data Science, and Data Services, owning the product experience rather than backend platforms.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, Business Analytics, Information Systems, Statistics, Mathematics, Engineering, or a related quantitative field.
• Minimum of seven years of relevant professional experience in software/application development.
• Demonstrated experience building production web applications with React and TypeScript.
• Experience building dashboards, data-dense interfaces, interactive visualizations, embedded analytics, or other decision-support products.
• Experience integrating front-end applications with REST or GraphQL APIs, authentication, authorization, and role-based experiences.
• Strong product judgment and the ability to turn complex user workflows and data into clear, usable interfaces.
• Familiarity with modern front-end testing, observability, performance optimization, accessibility, and CI/CD.
• Analytics experience including data concepts, governed metrics, APIs, SQL, and Python.
• Ability to collaborate effectively across Product, Design, Data Services, AI/Data Science, and business teams.

Responsibilities

• Build user-facing analytics and AI experiences in healthcare products.
• Create React- and TypeScript-based dashboards and interactive data views.
• Embed analytics agents that help users understand data and take appropriate actions.
• Collaborate with Product, Design, AI/Data Science, and Data Services to own the product experience.
• Consume governed APIs and data products from Data Services and turn them into intuitive analytics applications.
• Turn complex user workflows and data into clear, usable interfaces.

Skills

React

TypeScript

Dashboards

Data visualization

REST/GraphQL APIs

RBAC / access controls

CI/CD

Python

Analytics concepts

Cross-functional collaboration

Education

Bachelor's degree in CS/Engineering/Analytics

Tools

ECharts

Vega

Plotly

Recharts

Job description

We are hiring an Analytics Product Engineer to build user-facing analytics and AI experiences in our healthcare products.

You will create React- and TypeScript-based dashboards, interactive data views, and embedded analytics agents that help users understand what is happening, investigate why, and take the next appropriate action. You will work within a cross-functional product team and partner closely with Product, Design, AI/Data Science, and Data Services.

This role owns the product experience-not the backend data platform. You will consume governed APIs, data products, semantic metrics, and access controls provided by our Data Services team and turn them into intuitive, reliable analytics applications.

Skills:

• Bachelor's degree in Computer Science, Software Engineering, Data Science, Business Analytics, Information Systems, Statistics, Mathematics, Engineering, or a related quantitative field.
• Minimum of seven years of relevant professional experience in software/application development.
• Demonstrated experience building production web applications with React and TypeScript.
• Experience building dashboards, data-dense interfaces, interactive visualizations, embedded analytics, or other decision-support products.
• Experience integrating front-end applications with REST or GraphQL APIs, authentication, authorization, and role-based experiences.
• Strong product judgment and the ability to turn complex user workflows and data into clear, usable interfaces.
• Familiarity with modern front-end testing, observability, performance optimization, accessibility, and CI/CD.
• Analytics experience including data concepts, governed metrics, APIs, SQL, and Python.
• Ability to collaborate effectively across Product, Design, Data Services, AI/Data Science, and business teams.

Preferred qualifications

• Experience integrating AI, LLM, or agent capabilities into customer- or employee-facing products.
• Experience designing conversational or agentic user experiences, including citations, evidence, feedback, quality evaluation, and guardrails.
• Experience with visualization libraries such as ECharts, Vega, Plotly, Recharts, or similar.
• Experience working in healthcare or another regulated environment.

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