Business Intelligence Analyst

Description

• Interpret operational trends and behaviors, offering recommendations that connect data to on-the-ground realities.
• Build strong relationships across functions to ensure reporting is not only accurate, but relevant, actionable, and trusted by end users.
• Act as a problem-solver and resource for leaders by proactively surfacing insights, risks, or gaps in data quality and business processes.
• Engage directly with operations and field teams to understand workflows, constraints, and real-world application of data.
• Facilitate conversations between technical and non-technical groups, ensuring alignment on definitions, processes, and priorities.
• Support user adoption by clearly explaining insights, assumptions, limitations, and business impacts.
• Identify process inefficiencies and propose practical, scalable improvements that balance data capabilities with operational needs.

Requirements

• Detail-oriented and organized, especially when working with technical or financial data.
• Bachelor’s degree in Data Analytics, Engineering, Computer Science, Finance, or a related discipline.
• React (Hooks), Typescript, NodeJS (asset)
• Power Automate
• Microsoft D365 (or similar ERPs)
• Adapt quickly to shifting operational priorities and support teams during time-sensitive decision-making or incidents.
• Strong problem-solving abilities and creative analytical thinking.
• Strong relationship-building skills, including the ability to consult, influence, and support stakeholders at all levels.
• Power BI (DAX)
• Experience working in operational, field-based, energy services, manufacturing, or industrial environments (asset).
• Resilient, adaptable, and comfortable working with ambiguity or shifting operational priorities.
• Strong proficiency with SQL and experience working with large, complex datasets.
• Strong business acumen with the ability to connect data patterns to operational outcomes.
• Proactive, self-directed, and able to take ownership of insights and initiatives.
• Familiarity with operational and financial datasets commonly used in energy services.
• Exceptional communication skills with the ability to simplify complex data for operators, managers, and executives.
• SQL (MySQL, PostgreSQL)
• Ability to collaborate with field teams, engineers, accountants, and leaders.
• VBA (for modernization)
• 3–5 years of experience in business intelligence or analytics and/or related operational experience, ideally in the Canadian energy sector.

Benefits

• Employer paid benefits: health, dental & more
• Employee wellness program
• Career progression
• Health care spending account
• Competitive industry wages, and compensation programs which includes:
• A competitive employee referral program
• Employee savings plans

Training + Development

Interview process

Visa Sponsorship

Security clearance