Position-Support Analyst
Location-Allentown, PA or Houston, TX
Job Description
Position Summary

• The Support Analyst will be responsible for providing technical and functional support for the Pipeline Scheduler application used in midstream oil and gas operations.
• This role ensures the smooth operation of scheduling systems, resolves user issues, and supports enhancements and maintenance activities across development and production environments.

• Provide Level 1 and Level 2 support for the Pipeline Scheduler application, including incident resolution, user access management, and system monitoring.
• Troubleshoot and resolve application issues related to batch jobs, data flow, and integration with systems like T4 and Nest databases.
• Maintain and update Excel VBA-based scheduling tools, ensuring configuration integrity and macro functionality.
• Collaborate with schedulers to support daily operations such as exporting, editing, and publishing pipeline schedules.
• Participate in patching activities, nightly audits, and compliance checks within the AVD environment.
• Document support procedures, architecture diagrams, and user guides.
• Coordinate with development teams for issue escalation and resolution.
• Monitor ticket queues and ensure timely resolution or escalation of issues.
• Participate in on-call rotations and support activities outside regular business hours as needed.

• 6 8 years of experience in application support, preferably in the energy or midstream sector.
• Proficiency in SQL (Level 3) and Visual Basic (Level 2) for data handling and script maintenance.
• Experience with pipeline scheduling tools (e.g., Scheduling App, PLS) and understanding of terminal operations.
• Familiarity with AVD environments, Active Directory group management, and Excel-based automation.
• Strong analytical and problem-solving skills with the ability to reverse-engineer complex code.
• Excellent communication and documentation skills.

• Experience with Transport 4, Nest, and T4 systems.
• Knowledge of midstream energy operations and pipeline logistics.
• Exposure to RPA, integration workflows, and data quality management