Experience: 3+ Years

Role Summary:
We are seeking an experienced Oracle Analytics Server (OAS) Developer/Consultant with a strong background in enterprise reporting, data warehousing, and SQL development. The ideal candidate will have hands-on experience designing, developing, and supporting dashboards, reports, and semantic models in Oracle Analytics Server (OAS) or Oracle Business Intelligence Enterprise Edition (OBIEE).

This will be a work from home contractor requirement on a month-to-month arrangement, with developer support anticipated through year-end.

• 3+ years of hands-on experience with Oracle Analytics Server (OAS) and/or OBIEE
• Experience developing and maintaining Analyses, Dashboards, KPIs, Agents, and BI Publisher reports
• Strong understanding of OAS/OBIEE semantic modeling (RPD), subject areas, and security implementation
• Advanced SQL skills, including query optimization, complex joins, aggregations, and performance tuning
• Experience working with Data Warehouse environments and dimensional data models (Star/Snowflake schemas)
• Strong knowledge of Oracle Database and PL/SQL
• Experience troubleshooting reporting and performance issues
• Ability to gather business requirements and translate them into reporting and analytics solutions
• Familiarity with ETL processes and data integration concepts

Preferred Skills:

• Knowledge of cloud analytics platforms and modern BI tools
• Experience integrating OAS with enterprise applications and data sources
• Understanding of data governance and metadata management
• Exposure to AI-enabled analytics and self-service reporting platforms

Responsibilities:

• Develop, enhance, and maintain OAS/OBIEE dashboards and reports
• Design and support semantic models (RPD) and subject areas
• Work with business stakeholders to gather requirements and deliver reporting solutions
• Optimize SQL queries and report performance
• Support data validation, testing, and production deployments
• Collaborate with data engineering and warehouse teams to ensure data quality and consistency
• Provide ongoing production support and troubleshooting

Job Summary

The Product Quality Engineer (PQE) is responsible for ensuring quality and reliability performance of our products, wherever they are designed, manufactured, and assembled, by performing best in class Product Qualification in accordance with international standards and customer requirements. The PQE is also responsible for Reliability Monitoring through ORT.

The PQE works cross-functionally with Design, Test, Manufacturing, Reliability Labs, FA Labs, and Customer/Supplier Quality to prevent defects, drive robust product quality and continuous improvement initiatives.

Key Responsibilities

• Attend related Milestones Meetings starting at Design kick-off through to production transfer.
• Define, perform, and review Qualification (new products, second source, material changes, design changes, process changes, …)
• Define, evaluate, and implement suitable stress tests for related product applications.
• Ensure product compliance with internal specifications, customer requirements, and applicable standards (e.g., ISO 9001, IATF 16949, IEC, JEDEC, AEC, etc.).
• Communicate qualification plans and data with customer (Silicon, Package and Board Level).
• Participate in risk assessments (e.g., DFMEA) and ensure mitigation actions are implemented and validated.
• Review qualification test results, assess risks, and provide quality approval for production release or change management.
• Generate and publish qualification reports.
• Handling of the resolution for qualification related issues in a timely manner.
• Coordinate failure analysis for qualification failures using electrical, mechanical, or materials analysis techniques.
• Define and implement measures jointly with related teams to achieve high product robustness.
• Highlight in timely manner potential criticalities and risks on the success of qualifications.
• Ensure lessons learned from product quality issues are systematically fed back into design and process improvements.

Key Performance Measures

• Qualification achievement in terms of timing, quality, and costs.
• Overall Product Quality achievement alignment to Division KPIs

• Bachelor’s or master’s degree in engineering with 8+ years of relevant experience
• Prior team leadership experience is preferred.
• Good understanding of semiconductors and the semiconductor industry.
• Good understanding of semiconductor manufacturing processes (wafer fab, assembly, test).
• Strong knowledge on industry quality, reliability standards, and qualification methodologies.
• Experience with failure analysis workflows and quality tools (FMEA, 8D, root cause analysis).
• Strong analytical and structured problem-solving mindset.
• Good understanding of automotive customer or AI product customer high quality requirement.
• Excellent communication skills with both technical and non-technical stakeholders.
• Ability to work independently and with cross-functional teams.
• Customer-focused, detail-oriented, and able to manage multiple priorities.
• Comfortable working in a global, multicultural environment.
• Self-motivated and business service minded.
• Excellent interpersonal, organizational and communications skills