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About The Position

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.

Requirements

  • 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.

Nice To Haves

  • Operational and/or maintenance experience.

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.

Benefits

  • A flexible benefits program that allows each employee to select the level of coverage needed for their family in the areas of health, dental, insurance, and disability.
  • A paid maternity and parental leave benefit that offers up to 20 weeks of paid leave for birth-giving parents and up to 12 weeks for other eligible parents, providing flexibility and support during this important life event.
  • Valuable retirement savings plans, including a savings plan with company stock as an investment option.
  • Paid time off/vacation/sick, plus paid personal days off (depending on location), and paid holidays.
  • An Employee and Family Assistance Program.
  • A Wellness Program, which focuses on supporting healthier employees by providing tools, resources, and opportunities to improve physical, mental, social, and financial well-being.
  • Enbridge’s FlexWork (hybrid work model) offers eligible employees (Manager and below) the option to work from home on Wednesdays and Fridays, or opt for a compressed work week schedule. Role requirements determine your eligibility for each option.

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