Oracle Cloud Analytics Engineer – AI Dashboards

Abundance Network; Redwood City (CA); On-site; USD 153,000 - 168,000; Full time

Job summary

Stanford University IT is seeking an Oracle Cloud Reports Developer to join the Data Analytics & Reporting team. You will build dashboards and data models using OAC, OTBI, and BIP, while advancing AI-driven insights across the analytics stack.

You will collaborate with stakeholders, optimize SQL and data transformations, and support platform upgrades. A strong background in Oracle analytics Ecosystem and data governance is required.

Qualifications

• 5+ years of experience developing within the Oracle Cloud Applications & Analytics ecosystem.
• 7+ years of experience with Oracle databases, data integration, and reporting.
• Bachelor’s degree in Computer Science, Information Systems, or related field.

Responsibilities

• Lead design, development, and enhancement of dashboards, data models, and analytics using OAC and OTBI.
• Drive AI features, ML capabilities, and automated insights within OAC/OAS.
• Develop, optimize, and maintain reporting data models, queries, and integrations across BIP, OAS, FDI, and Informatica.
• Troubleshoot performance bottlenecks, optimize SQL, ensure data accuracy and security.
• Collaborate with stakeholders to translate requirements into technical specifications and documentation.
• Assist in data validation, testing, and platform upgrades/patch cycles.

Skills

SQL & data modeling

AI analytics

communication & problem solving

multi-platform analytics

Education

Bachelor’s degree in CS / Information Systems

7+ years Oracle analytics experience

5+ years Oracle Cloud Apps

Tools

OAC

OTBI

OAS

FDI/FAW

BI Publisher

Informatica

Tableau

Job description

Stanford University IT is seeking an Oracle Cloud Reports Developer to join the Data Analytics & Reporting team. You will build dashboards and data models using OAC, OTBI, and BIP, while advancing AI-driven insights across the analytics stack.

You will collaborate with stakeholders, optimize SQL and data transformations, and support platform upgrades. A strong background in Oracle analytics Ecosystem and data governance is required.