Senior Alberta Regulated Business Analyst

Develop and maintain analytical models that support the strategic and financial outcomes of the Regulated Go-To-Market team, including models used in regulatory applications to the Alberta Utilities Commission supporting over C $1B in annual revenues.

Build, enhance, and validate forecasting and scenario models to support financial planning, including rate changes, rider calculations, and sensitivity analysis; perform ongoing quality assurance and model validation.

Utilize data science methodologies to analyze and monitor key performance indicators (KPIs), identifying trends, anomalies, and actionable insights to support continuous improvement in customer, financial, and operational performance.

Support AI and advanced analytics initiatives by structuring, segmenting, and maintaining high-quality datasets; collaborate with cross-functional teams to ensure data readiness, governance, and alignment with model development and deployment requirements.

Support the preparation of regulatory applications by developing forecast assumptions, performing scenario analysis, drafting analytical components, and contributing to responses for information requests and compliance filings.

Develop and present written material such as reports and PowerPoint presentations to explain and support analysis, recommendations, and outcomes.

Partner with Finance and Operations to perform monthly variance analysis of actual versus approved or forecasted revenues and costs and assess impacts on margin and economic profit.

Open office environment.

4 days a week in office and 1 day hybrid

Ability to work from home while remaining effective and productive.

Some overtime required as special projects arise.

Some travel may be required.

University degree in Finance, Accounting, Computer Science, Mathematics, Economics, Business or related discipline.

Minimum 5 years of experience in a combination of financial analysis, business, operational effectiveness or related field.

Proficiency with analytical tools with Excel (advanced functions).

Advanced proficiency in managing and analyzing large datasets.

Experience with data warehousing, large-scale data processing, and analytics, with exposure to machine learning techniques and their application in business decision-making.

Preference for candidates with experience within the energy industry, ideally in customer operations, finance, accounting, and/or commercial areas.

Understanding of the Alberta regulatory utility industry.

Experience with Databricks, implementing Artificial Intelligence tools and/or other data management tools.

Superior analytical and financial modeling experience, including forecasting, scenario analysis, sensitivity modeling and ability to pass on these skills to team members. Skill test will be a requirement of the recruitment process.

Strong ability to break down complex, ambiguous datasets into structured analyses.

Ability to work independently with minimal direction.

Demonstrated problem solving skills with a high level of attention to detail and commitment to data accuracy.

Ability to translate technical findings into clear business recommendations.

Excellent communication skills (written and verbal) and ability to present confidently to wide-ranging audience including leadership and external stakeholders.

Ability to build and maintain dashboards and visualization using tools like Power

BI or similar platforms.

Ability to excel in a fast-paced, changing environment; effectively managing multiple activities and meeting deadlines.

Strong capabilities in Word and PowerPoint.

Demonstrate a strong commitment to continuous learning and process improvement.

Ability to query data using tools such as SQL, Databricks, Snowflake, or similar data platforms.

Experience working with AI tools and platforms is a plus.

Ability to work at a computer for long hours.