Oracle
The Analytics Engineer role involves building and maintaining data pipelines, transformation workflows, and Power BI dashboards. The position requires expertise in SQL, Python, dbt, and modern ELT practices to develop reliable data models and reporting solutions. The ideal candidate will collaborate with business and engineering teams to deliver production-ready analytics solutions.
Oracle Corporation is a multinational technology company that builds enterprise software, cloud infrastructure, and engineered systems for large organizations. Best known for the Oracle Database, the company also offers a broad portfolio of enterprise applications (ERP, HCM, CX), analytics, middleware, Java, and hardware, plus Oracle Cloud Infrastructure (OCI) with SaaS, PaaS, and IaaS services. Oracle supports customers through consulting, managed services, and global technical support to migrate and modernize mission‑critical systems. Enterprises choose Oracle for its integrated stack, scalable performance, and enterprise‑grade security and reliability.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Oracle.
Analytics Engineer – Data Engineering and Power BI
sequoia-connect
Analytics Engineer – Data Engineering & Power BI
valcetalentsolutions.com
Analytics Engineer – Data Engineering and Power BI
sequoia-connect
Analytics Engineer – Data Engineering and Power BI
sequoia-connect
Analytics Engineer – Data Engineering and Power BI
sequoia-connect
Analytics Engineer – Data Engineering and Power BI
sequoia-connect