Oracle Analytics Cloud; OAC Developer & Administrator

Overview

Mission Support and Test Services, LLC (MSTS) manages and operates the Nevada National Security Site (NNSS) for the U.S. National Nuclear Security Administration (NNSA). Our MISSION is to help ensure the security of the United States and its allies by providing high-hazard experimentation and incident response capabilities through operations, engineering, education, field, and integration services and by acting as environmental stewards to the Site's Cold War legacy.

Our VISION is to be the user site of choice for large-scale, high-hazard, national security experimentation, with premier facilities and capabilities below ground, on the ground, and in the air. (See NNSS.gov for our unique capabilities.) Our 2,750+ professional, craft, and support employees are called upon to innovate, collaborate, and deliver on some of the more difficult nuclear security challenges facing the world today.

• MSTS offers our full-time employees highly competitive salaries and benefits packages including medical, dental, and vision; both a pension and a 401k; paid time off and 96 hours of paid holidays; relocation (if located more than 75 miles from work location); tuition assistance and reimbursement; and more.
• MSTS is a limited liability company consisting of Honeywell International Inc. (Honeywell), Jacobs Engineering Group Inc. (Jacobs), and HII Nuclear Inc.

The Information Technology Directorate is looking for an Oracle Analytics Cloud (OAC) Developer & Administrator (Senior Applications Analyst) to join the Enterprise Application Solutions team.

• Fusion SaaS Connectivity & Reporting:
• Monitor and optimize the performance of OAC dashboards, reports, and data models by fine-tuning queries, managing data caching, and implementing best practices for handling large-volume datasets.
• Troubleshoot and resolve performance issues related to report generation, data extraction, and database bottlenecks using tools such as SQL Tuning Advisor and Explain Plan analysis.
• Design and implement efficient data loading and extraction strategies (using tools like BICC or OIC) to manage data pipelines for large-scale data solutions.
• Advise on data partitioning, indexing, and materialized views to improve query execution speed and overall system responsiveness.
• External Database Integration:
• Configure Remote Data Connectivity using the OAC Data Gateway for secure, live data access to on-premise data sources.
• Design solutions that blend data from various sources (Fusion SaaS, external databases, flat files) into cohesive datasets and visualizations for comprehensive analysis.
• Application & Data Security (OAC):
• Implement fine-grained access controls within OAC, managing application roles, catalog permissions, and data filters to ensure users only view data relevant to their security context.
• Configure security settings to ensure that the security model defined in the source Oracle Fusion Applications (e.g., HR role hierarchies in HCM, data access sets in ERP) is respected when accessing data via OTBI or BICC extractions.
• Utilize data masking and encryption best practices to protect sensitive or personally identifiable information (PII/PHI) within data sets and warehouses used for analytics.
• Governance & Compliance:
• Define and document governance policies for OAC content lifecycle management, data lineage, and audit logging to meet regulatory requirements (e.g., SOX, GDPR).
• Monitor data usage, access patterns, and policy compliance using OAC and OCI audit logs and reporting tools.
• Ensure system configurations adhere to established security zones and corporate security standards within the Oracle Cloud Infrastructure (OCI) environment.
• Compartment Strategy:
• Leverage OCI compartment management for logical isolation of OAC instances and data resources to enhance security and governance posture.
• AI and Machine Learning Integration:
• Leverage OAC's embedded ML and AI capabilities to build predictive models, perform anomaly detection, and generate data-driven insights.
• Utilize the OAC AI Assistant for natural language querying and data visualization generation to enhance user accessibility and productivity.
• Integrate and deploy Machine Learning models developed using tools like Oracle Machine Learning (OML) or Python/R into OAC dashboards to support advanced analytics and forecasting.

Due to the nature of our work, US Citizenship is required for all positions.

• Bachelor's degree in a computer related field or equivalent computer related experience with at least 5 years of relevant, progressively responsible experience.
• Minimum of 6-8 years in BI and analytics, with at least 3-4 years specifically with Oracle Analytics Cloud (OAC).
• Proven experience as an OAC Administrator, responsible for environment management, security, and lifecycle management tasks.
• Experience in designing end-to-end reporting solutions within the Oracle Cloud environment.
• Expertise in OAC development, data modeling, performance tuning, and integrating various data sources.
• Fusion…