Engineering Analyst

CROSS BORDER ROLE - Candidate will be required to travel to Calgary, Alberta for project requirements.

The Business Data & AI Specialist (Engineering Analyst IV) within the Go-To-Market (GTM) Data & Systems Strategy division drives operational excellence by delivering applied data science, artificial intelligence/machine learning (AI/ML), and automation solutions. Operating within the gas transmission sector, this position directly supports key organizational priorities including reliability, regulatory compliance, asset management, and strategic decision support.

Embedded within the Data & Systems Strategy team, the Specialist collaborates closely with operations, engineering, integrity, records, and asset management functions. The ideal candidate will translate operational challenges into actionable, auditable, and scalable data-driven solutions, combining robust technical execution with a precise understanding of the broader business context.

Core Responsibilities

• Business Stakeholder Alignment: Partner with cross-functional leaders across operations, engineering, integrity, and asset management to identify, prioritize, and scope data and AI opportunities. Translate operational questions into well-defined analytical models grounded in regulatory standards and business realities.
• Data Management & Analysis: Perform acquisition, cleansing, transformation, and validation of structured and unstructured datasets. Conduct exploratory analyses to detect trends, operational anomalies, risk factors, and process improvements.
• Advanced Analytics & AI Development: Design, execute, test, and refine machine learning models (classification, regression, clustering, NLP). Engineer Generative AI and agentic AI-based workflows, including prompt engineering and process automation.
• Dashboarding & Communication: Deliver reproducible analyses and build business-facing dashboards (e.g., Power BI) to facilitate executive and operational decision-making. Communicate technical findings, model limitations, and recommendations effectively to non-technical stakeholders.
• Software Quality & Governance: Write clean, modular, and secure Python code adhering to standard repositories (Git). Prepare thorough documentation to ensure knowledge transfer, audit readiness, and continuous operational support.
• MLOps & Lifecycle Management: Support model deployment and basic MLOps practices, including tracking input/output integrity and tracking performance metrics over time.
• Cross-Functional Collaboration: Work closely with technical teams, domain experts, and IT partners to continuously enhance, scale, and align business-owned data solutions.

• Education: Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field.
• Experience: 6-8 years of progressive experience applying data science, advanced analytics, and AI/ML solutions to operational challenges, preferably within the energy sector.
• Programming Skills: Advanced proficiency in Python and its core data science and machine learning libraries.
• Domain Knowledge: Strong mastery of applied statistics, machine learning principles, and data modeling techniques.
• Soft Skills: Proven ability to work independently within defined scopes, manage cross-functional relationships, and translate complex technical insights into clear strategic recommendations.

Preferred Qualifications

• Practical experience deploying Generative AI, Large Language Models (LLMs), or agent-based workflows within corporate settings.
• Strong SQL proficiency for querying and managing operational and analytical databases.
• Hands-on experience developing enterprise reporting dashboards (Power BI preferred).
• Familiarity with cloud architectures (Azure preferred; AWS or GCP acceptable).
• Prior experience in highly regulated, engineering, or audit-heavy operational environments.

Pulled from the full job description

• 401(k)
• Health insurance
• Vision insurance
• Dental insurance, * 401(k)
• Dental insurance
• Health insurance
• Vision insurance