Data Analyst Specialist – Management Technology

Responsibilities

• Lead advanced data analysis across large, coordinated datasets to support operational performance and strategic decision-making.
• Build, develop, and maintain dashboards, reports, and analytical models that deliver clear, actionable insights.
• Conduct root-cause analysis to identify trends, risks, and opportunities for improvement within operational and asset data.
• Maintain data accuracy by performing validation, reconciliation, and implementing strong controls throughout enterprise systems.
• Translate business requirements into scalable analytics solutions, including data integrations, interfaces, and reporting tools.
• Collaborate with IT and cross-functional partners to support system improvements, resolve issues, and drive analytics modernization initiatives.
• Provide technical guidance and mentorship to analysts and project teams while contributing to data governance, standards, and continuous improvement.

• Related university degree or equivalent experience and six‑plus years’ experience OR eight‑plus years of previous field operations experience, OR equivalent mix of formal education and experience.
• Advanced degree or equivalent experience in Computer Science, Information Systems, Engineering, Data Science, Business, or a related field.
• Scripting or programming experience (e.g., Python, R, VS Code).
• Progressive experience in advanced data analytics and benchmark development within asset‑intensive industries such as oil and gas, utilities, or petrochemical operations.
• Advanced SQL expertise with strong knowledge of relational databases, data modeling, and data quality/governance practices.
• Experience with business intelligence and data visualization tools (e.g., Power BI, Tableau) and strong data storytelling capabilities.
• Demonstrated skill in combining and examining data from various enterprise systems (e.g., EAM/Maximo, ERP/Oracle, GIS) and collaboration platforms.
• Hands‑on experience across the system development lifecycle, including requirements gathering, building, development, testing, and documentation.
• Strong analytical and problem‑solving skills, with demonstrated leadership in business analysis, collaborator engagement, and process development.
• Excellent communication skills, with the ability to prioritize and translate complex technical concepts for diverse audiences.
• Preferred:
  Operational and/or maintenance experience.