Sr. Analytics Developer

A little about Capital Power

Capital Power (TSX: CPX) is dedicated to Powering Change by Changing Power. This north star guides our ambitions, focus, and actions as we transform our energy system. We're a growth-oriented North American energy company headquartered in Edmonton, Alberta. Our team safely delivers, builds, and creates balanced energy solutions for customers across North America.

Our people are at the core of our journey to deliver reliable, affordable, and lower-carbon power solutions. We provide purpose-driven work in a safe and inclusive environment, and we live by our North Star. With us, your contributions matter – we want you to be empowered to innovate, collaborate, and ultimately drive results. We're here to partner with you so you can learn, grow, and forge a career that's meaningful to you. Join us in powering North America

Your Opportunity

One Permanent Full Time Position.

The Sr. Analytics Developer supports the Supply & Trading (S&T) function through the expansion, definition, and delivery of analytics that enable effective contractual and trading decision-making. It is a high-touch, business-embedded role that works closely with trading stakeholders to shape analytical outputs within the context of Capital Power's Enterprise Oversight Framework (EOF) — the company's proprietary enterprise reporting foundation.

The Sr. Analytics Developer - Supply & Trading (S&T) acts as a bridge between business-facing analytics and core data engineering , translating complex, high-volume transactional trading data into governed, scalable data models and analytical products aligned with enterprise standards.

You will contribute to our team by:

Key Responsibilities

• Partner closely with Supply & Trading stakeholders to define analytical requirements, success criteria, and decision-support outputs

• Translate trading and commercial questions into well-designed analytical solutions aligned to EOF principles (UI/UX) and enterprise reporting standards

• Work hands-on with high-volume transactional trading data, including deals, volumes, prices, settlements, and related structures

• Design and develop analytical data models that reflect trading domain logic while conforming to enterprise data and DevOps standards

• Build and maintain reliable data transformations and analytical layers, with support from the Data Operations squad

• Ensure data accuracy, reconciliation, and traceability from source trading systems through to analytical and reporting outputs

• Collaborate with data engineers, analytics developers, and DevOps leads to ensure solutions are production-ready, maintainable, and scalable

• Contribute to documentation, metric definitions, and lineage to support transparency, governance, and long-term sustainability

Required Experience & Capabilities

• 8+ years experience in analytics engineering, data analytics, data engineering, or a senior hybrid role

• Strong SQL and data modeling skills, particularly with high-volume, financially transactional datasets

• Working knowledge of trading, commercial, or market-based data structures (energy, commodities, or similar environments)

• Proven ability to operate in a bridge role — engaging deeply with business stakeholders while delivering technically sound solutions

• Experience working within modern data platforms and cloud environments (e.g., Snowflake, Databricks, Azure)

• Comfort operating within structured delivery models, including DevOps-aligned development and release practices

Ways of Working:

• High stakeholder engagement and iterative solution definition

• Outcome-focused, with strong emphasis on clarity, accuracy, and decision usefulness

• Collaborative delivery alongside data engineering, data operations, and analytics teams

• Operates effectively in ambiguous problem spaces where requirements evolve through discussion and discovery

Education:

• Bachelor's degree in a quantitative or technical field such as Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related discipline.

• Master's degree or in Data Science, Engineering, Analytics, Statistics, or a related field is considered an asset but is not required.

Working Conditions:

• Hybrid office/work from home position.

• Location: Calgary

Additional Details:

In order to be considered for this role you must be legally eligible to work in Canada.

The successful candidate for this position will undergo an education verification, reference checks and criminal record check.

We believe that creating a culture that supports employee physical, mental, financial, and social wellbeing is critical to our success. That is why we provide flexible and affordable employee benefits, retirement savings, and paid time off programs. We also provide comprehensive onboarding, training, and programs supporting your career development.

Depending on the posting requirements relocation assistance may be available.

How To Apply and Next Steps

Capital Power only accepts resumes via online application at  If you choose to submit your resume by any other means, we cannot guarantee that your application will be considered for vacancies.
Applicants with disabilities who require a reasonable accommodation to complete their application can request accessible formats, communication support, or other accessibility assistance by contacting 
Capital Power is committed to providing a fair and transparent hiring process. We recognize and embrace the value of diversity and hire employees with the appropriate skills, experience and knowledge for each position.
Thank you for taking the time to apply and expressing interest in powering a sustainable future with Capital Power We wish that we could personally respond to everyone who applies; however, it is our practice to contact only those individuals selected for interviews.