Analyst- Data Administration

Analyst - Data Administration

Summary:

The Analyst will support the Data Administration team by maintaining, troubleshooting, and administering key enterprise-wide applications and master data domains. This role is responsible for ensuring high-quality, consistent, and compliant referential and master data across the organization. The ideal candidate will demonstrate strong analytical skills, technical aptitude, and the ability to collaborate effectively with cross-functional teams, external partners, and vendors. A strong customer service mindset and the ability to manage multiple priorities in a dynamic environment are essential.

Essential Duties and Responsibilities:

• Administer, support, and optimize various enterprise applications, including SAP IS-OIL, Emerson Synthesis, Dearman Trucking suite, PFIS, Transport 4 (T4), Emerson Pipeline Scheduler, Well Trax Trucking suite, Right Angle, MIS Mainstay Vetting, and Schneider Offsites Terminal Suite.
• Perform application configuration, routine maintenance, troubleshooting, and performance tuning to ensure high availability, reliability, and system integrity.
• Create, maintain, validate, and archive all referential and master data to ensure accuracy, standardization, and alignment across business units.
• Understand and support multi-tier software architectures, including user interfaces, middleware layers, integration tools, and backend databases.
• Administer and troubleshoot middleware interface applications, cross-reference tables, data mappings, and system integrations.
• Partner with internal stakeholders (e.g., Pipeline Operations, Terminals, Crude Trucking, Measurement, Scheduling, Finance, Business Development, Accounting, IT) to gather requirements, resolve issues, and improve data and system processes.
• Serve as a liaison with external vendors and customers to support system updates, integrations, data accuracy, and operational needs.
• Document and maintain data management standards, workflows, and compliance requirements. Ensure strict adherence to SOX controls, audit requirements, and corporate governance policies.
• Support continuous improvement efforts by identifying process gaps, recommending enhancements, and participating in system upgrades, testing, and new solution implementations.
• Analyze complex data issues, research root causes, and implement corrective actions to prevent data integrity issues across systems.

Requirements:

Education, Experience, Knowledge, Skills & Abilities:

• Demonstrated ability to quickly learn new systems, understand complex business processes, and translate business needs into technical solutions.
• Willingness to participate in an on-call rotation, including nights and weekends, for urgent support needs such as patches, reboots, or critical incident response.
• Strong sense of accountability, urgency, and ownership, with the ability to work independently under changing priorities.
• Ability to act as a trusted advisor by presenting system-based solutions, evaluating impacts of proposed changes, and providing thoughtful recommendations to business partners.
• Excellent customer service and interpersonal skills, with the ability to collaborate effectively across multiple departments and levels of the organization.
• Strong time-management skills with the ability to manage multiple initiatives simultaneously while meeting deadlines in a fast-paced environment.
• Exceptional written and verbal communication skills, including the ability to document procedures, prepare reports, and clearly articulate technical concepts to non-technical audiences.
• Proficiency in MS Office applications (Excel, Word, PowerPoint, Outlook).
• General understanding of accounting information systems, business processes, and data flows across upstream, midstream, or downstream operations.
• Ability to travel as needed, including occasional overnight travel.

Enhanced Skills & Additional Competencies (added for strengthening the role):

• Strong analytical and problem-solving skills with a focus on data quality, validation, and root-cause analysis.
• Understanding of data governance principles, data lifecycle management, and master data management (MDM) best practices.
• Familiarity with…