Data Analyst Specialist I, Work Management Technology

Posting End Date:

June 21, 2026

Employee Type:

Regular-Full time

Union/Non:

This is a non-union position

Are you energized by turning complex data into meaningful insights that drive significant business impact? We are seeking a highly analytical and strategic Data Analyst Specialist for our Work Management Technology team. The ideal candidate thrives in fast-paced settings, enjoys solving complex problems, and is passionate about influencing operational performance using data-driven decision-making.

In this senior individual contributor role, you will function as a trusted advisor and subject-matter expert. You will lead advanced analytics initiatives and work closely with business and technical collaborators to unlock the full value of enterprise data. If you are ready to make a measurable impact and develop the future of analytics within a collaborative, forward-thinking organization, we want to hear from you.

What You Will Do:

• 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.

Who You Are:

• 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.

Physical Demands (Include but are not limited to):

Grasping, kneeling, and lifting objects up to 50 pounds with light to moderate effort are required. You will also reach above shoulder level and perform repetitive motions. Tasks involve sitting, standing, and visual abilities such as seeing screens, detecting color codes, and reading fine print. Hearing is necessary. Mobility includes walking outdoors on uneven or slippery terrain and entering and exiting excavations. Agility to climb ladders, scaffolding, ramps, poles, and similar structures using hands, arms, legs, and feet is needed.

Mental Requirements (Both field & office) encompass but are not limited to:

Ability to understand, remember, and apply oral or written instructions and information. Understand complex problems and explore alternative solutions collaboratively. Coordinate thoughts and ideas into clear terminology. Prioritiz