BI Apps & Integrations Analyst: Data Pipelines & API

Castle Biosciences, Inc.

Phoenix (AZ)

On-site

USD 85,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Medical premium coverage
30 days PTO per year
401(k) with company match up to 6%
Stock grant upon hire
HSA contribution

Job summary

Castle Biosciences, Inc. is hiring an IT, Applications and Integrations Analyst to design, develop, and support BI solutions across clinical and business environments from our Phoenix office.

You will collaborate with cross-functional teams to translate business requirements into scalable data models and robust analytics. The role emphasizes data pipelines, documentation, and ongoing maintenance to ensure long-term scalability.

Qualifications

  • Bachelor's degree in information technology, Computer Science, Data Analytics, or Data Science OR 4 years' relevant experience
  • Experience with BI tools such as Tableau, Domo, Looker, and Oracle Analytics Cloud
  • Ability to read and utilize REST API documentation for custom API integrations
  • Proficiency in applying data pipelines and data modeling to workflows

Responsibilities

  • Design, develop, and support technical BI solutions across clinical and business environments
  • Collaborate with cross-functional teams to define business requirements
  • Deliver scalable, high-quality solutions with strong documentation and analytics focus
  • Model and manage data for ongoing maintenance and scalability

Skills

REST API usage
Data modeling
Data pipelines
Cross-functional collaboration

Education

Bachelor's degree in IT / CS / Data Analytics / Data Science

Tools

Tableau
Domo
Looker
SAS
Oracle Analytics Cloud

Job description

Castle Biosciences, Inc. is hiring an IT, Applications and Integrations Analyst to design, develop, and support BI solutions across clinical and business environments from our Phoenix office.

You will collaborate with cross-functional teams to translate business requirements into scalable data models and robust analytics. The role emphasizes data pipelines, documentation, and ongoing maintenance to ensure long-term scalability.

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