Senior Alberta Regulated Business Analyst

Job Summary
The Senior Alberta Regulated Business Analyst is responsible for developing, maintaining, and enhancing analytical models that support the strategic and financial objectives of the Regulated Go-To-Market team. This role provides advanced analytical insights to inform business decisions and recommendations across key performance drivers, including consolidated site counts, acquisition, retention, customer experience, margin, and economic profit.

The role is accountable for maintaining and improving the financial models that support Direct Energy Regulated Services non-energy applications and for providing analytical support to leadership on business performance and outcomes. The candidate will apply strong analytical, modeling, and communication skills to influence stakeholders and support decision-making across cross-functional teams.

Working within the Regulated Go-To-Market team, this individual will collaborate closely with Customer Management, Digital & Marketing, Product, Operations, Finance, and Regulatory Affairs. The role also includes preparing clear, data-driven materials to support internal and external communications, including regulatory submissions and stakeholder presentations.

Essential Duties/Responsibilities

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.

Working Conditions

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.

Minimum Requirements

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, especially advanced Excel 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.

Preferred Qualifications

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.

Additional Knowledge,

Skills and Abilities

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…