Senior Engineer or Analyst, Grid Analytics

The Alberta Electric System Operator (AESO) is responsible for the safe, reliable, and economic planning and operation of the Alberta Interconnected Electric System. We provide open and non-discriminatory access to Alberta’s interconnected power grid and also facilitate Alberta’s competitive wholesale electricity market. The AESO strives to foster an inclusive, diverse and equitable workplace where people feel respected and welcomed for who they are, together we deliver high performance and innovative results.

Job Description

If you are a current AESO employee, please view openings and apply through our internal site at Workday.

We are seeking a qualified Senior Engineer or Senior Analyst to support and expand data-driven analytics activities within our Grid Analytics (GA) team. GA is a cross-functional team that delivers advanced grid analytics solutions across the organization, including but not limited to Grid Intelligence Analytics and Data Dashboard/Tool Development, Power System AI/ML Applications, Congestion Modelling and Assessment, Locational Marginal Pricing Analysis, etc.

This role is a great opportunity for a data and electricity industry enthusiast interested in advancing the AESO’s capability to analyze the transmission system. It plays an essential role in executing and advancing analytics methodology, tools, and applications to enhance Grid Reliability practices and inform data-driven decision-making.

This full-time opportunity offers a competitive salary, paid vacation and flex time, health and dental benefits, mental health support, a defined contribution pension plan, and learning and development opportunities as part of your overall compensation package. We support a hybrid work environment, where the team is in the office on Tuesdays, Wednesdays, and Thursdays. Mondays and Fridays are flexible for where you work best.

Signs you will enjoy working in this team:

• You thrive in a fast-paced and dynamic environment and are looking for an opportunity to embark on transformative change.
• You enjoy working in a team of bright professionals and participating in lively discussions.
• You embrace change and pivot and adapt with ease.
• You like working in a diverse atmosphere – our team and colleagues have varied backgrounds, experiences, and perspectives.

Signs you will enjoy this position:

• You are a data fanatic who enjoys working with large and complex datasets to create meaningful information.
• You have an aptitude for asking the right questions, identifying criteria, and recommending tools, frameworks, or methodologies.
• You enjoy researching new trends and concepts and have a knack for suggesting and implementing better or more efficient ways to work.
• You have a talent for interpreting, translating, and communicating analytical findings through visualizations to different audiences.

Your main accountabilities:

• Engage stakeholders across the organization and design, develop and implement business intelligence platforms cross-functionally
• Conduct advanced data-driven analytics, communicate findings, and provide recommendations to support system operations, planning, and market decision-making
• Develop analytics and engineering tools required to support a variety of subjects including market simulation, operational forecasts, etc.
• Advance machine learning and agentic AI applications for power system use cases
• Conduct congestion assessments and other probabilistic engineering and market assessments

You have:

• Bachelor’s degree in Engineering, Economics, Mathematics, Computer Science, or a related quantitative discipline
• 10+ years of relevant work experience, ideally in the power industry
• Proven experience designing and developing highly functioning business intelligence, and data visualization platforms
• Advanced proficiency in Python, with experience developing complex analytical applications and automation solutions
• Demonstrated experience applying machine learning, and/or agentic AI for workflow automation to solve actual business problems and create business value
• Strong experience working with relational databases, including data query, maintenance, and optimization using SQL Server, Oracle, or similar database technologies.
• Strong communication and stakeholder engagement skills, with a proven ability to translate business challenges into data-driven solutions and present insights to large and diverse audiences
• Track record of partnering with cross-functional teams to identify opportunities, drive innovation, and deliver measurable business value through data and analytics

These aren’t required, but you’ll stand out if you have:

• Post-graduate degree (M.Sc., M.Eng., or Ph.D.)
• Demonstrated expertise in developing and applying advanced forecasting methodologies, including probabilistic forecasting, uncertainty quantification, and risk-informed analytics
• Professional Engineer (P. Eng.) designation with APEGA

Application deadline: November 8, 2026

#LI-Hybrid
 

If you are contacted for a pre-screening and/or interview, please advise of any accommodation measures required to enable you to fully participate. Information received relating to accommodation measures will be addressed confidentially.

The Alberta Electric System Operator is unable to accept unsolicited agency resumes.

The Alberta Electric System Operator, and its members, officers, employees and agents (collectively, the "AESO") is committed to protecting personal information provided to it. When you submit your personal information to the AESO for the purpose of pursuing employment with the AESO, the collection, use and disclosure of personal information is in accordance with the provisions of the Protection of Privacy Act (POPA) of Alberta.

As noted, the AESO is mandated to maintain the safe and reliable operations of the provincial power grid. As part of meeting its obligations, the AESO may require the successful candidate to undergo a criminal background check for the position. This collection of personal information for the purposes of a check will be conducted in accordance with Section 4 of POPA.