Analytics Product Engineer, Consultant

Blue Shield of CA; Minneapolis (MN); On-site; USD 120,000 - 180,000; Full time

Job summary

Blue Shield of CA is seeking an Analytics Product Engineer to build user-facing analytics and AI experiences for healthcare products. Develop React- and TypeScript-based dashboards, interactive data views, and embedded analytics agents to help users understand data and take action.

You will collaborate with Product, Design, AI/Data Science, and Data Services, consuming governed APIs and data products to create intuitive analytics applications.

Qualifications

• Bachelor's degree in a quantitative field.
• 7+ years of professional software experience.
• Experience building production web apps with React and TS.
• Experience building dashboards or embedded analytics.
• Experience integrating front-end with REST/GraphQL APIs and RBAC.
• Strong product judgment and ability to translate complex workflows into usable interfaces.
• Familiar with front-end testing, observability, performance optimization, accessibility, and CI/CD.
• Analytics experience including data concepts, governed metrics, APIs, SQL, and Python.
• Ability to collaborate across Product, Design, Data Services, AI/DS, and business teams.

Skills

React

TypeScript

Dashboards

Data Visualization

REST APIs

GraphQL

RBAC

CI/CD

Python

SQL

Product judgment

Collaboration

Education

Bachelor's degree in CS/Engineering/Quant fields

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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