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Orennia

Analyst, Low Carbon

Calgary, AB, Canada

Job type: Full-time
Apply by: Sep 29, 2026
Experience: You have 2+ years of relevant work experience.
Posting language: English
Posted: Aug 30, 2026

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Original job description

Location: Calgary Headquarters

Position Type: Full time, salaried

Reports to: Director, Analytics

About Orennia

Orennia provides an all-in-one platform for accurate data, predictive analytics and actionable insights across the energy transition. We drive faster capital allocation decisions and help our clients maximize returns across the solar, wind, storage, power, RNG, CCUS, clean fuels and hydrogen sectors. The technology that powers Orennia’s platform delivers an unparalleled experience, distilling information into actionable insights to give our clients a competitive edge.

As the world decarbonizes its energy stack, trillions in capital need to be deployed. Global investment in the energy transition must quadruple to over $5 trillion annually to stay on the 1.5°C pathway, according to the International Renewable Energy Agency. Without accurate data and predictive analytics, developers and investors will struggle to deploy capital efficiently and maximize returns. Orennia’s platform expedites the energy transition with effective and robust information for smarter capital allocation choices.

Why Join Orennia?

People are at the heart of the best technology companies. We’ve brought together some of the industry’s top experts and brightest minds in data orchestration, analytics, software development, and industry insights to uncover opportunities where others can’t. At Orennia, you’ll become part of a collaborative culture and do work that matters. We trust and support each other, ask hard questions and solve complex problems together. Guided by a spirit of inquiry, our team has a product-driven, continuous delivery mindset to drive our innovation forward.

The Opportunity

As an Associate, Low Carbon, you'll help shape the future of the energy transition by delivering data-driven insights and analytical solutions across Renewable Natural Gas (RNG) and Carbon Capture, Utilization and Storage (CCUS). Working with a highly collaborative team, you'll develop innovative models, solve complex market challenges, and partner directly with clients to inform high-impact strategic and investment decisions. If you're intellectually curious, thrive in a fast-paced environment, and want to build your career while contributing to a lower-carbon future, this is an exceptional opportunity to grow with us.

What You’ll Do

Contribute to market analysis across energy transition sectors, with a focus on Renewable Natural Gas (RNG) and Carbon Capture, Utilization and Storage (CCUS).
Develop advanced analytical models that leverage large data sets to provide insights to our clients.
You will develop tools and models to streamline the collection, management and reporting process for large datasets and modeling results.
Work closely with our clients to create customized solutions to their most pressing and complex problems.
Develop and maintain economic models for RNG and CCUS projects.
Participate in conference calls, virtual and in-person meetings with clients and prospects, leveraging and demonstrating our solutions.

Who You Are

You have 2+ years of relevant work experience.
You have experience or demonstrable passion in RNG or CCUS.
You have completed your bachelor’s degree in Engineering/Mathematics/Computer Science/Finance.
You have strong analytical ability including statistical methods and optimization concepts.
You have programming, database and software skills (VBA, Python, Excel, SQL).
You have the ability to work in a team setting with others from varying disciplines.
Excellent written and communication skills with an ability to explain complex problems.
You have strong attention to detail and are comfortable working with large data sets.
You are hungry to learn and contribute. Our organization is growing and this role is an exceptional opportunity to grow with us.
Deep intellectual curiosity with a results-focused relentless pursuit of answers. Ability to work in a fast-paced start-up environment, embrace change and ambiguity.

Why You’ll Love Orennia

At Orennia, you'll join a high performing, people-focused team where everyone has a role to play. We offer our regular, full-time employees a competitive total rewards package, comprehensive health, dental and vision benefits, a savings program that includes company matching, and a learning and development budget to master your craft. In addition, we offer generous time off with regular company holidays, paid vacation days and paid sick days.

We thank all applicants in advance for their interest and for taking the time to apply; however, only applicants invited for an interview will be contacted.

Orennia is an Equal Employment Opportunity (EEO) employer. We are committed to creating a diverse and inclusive workplace where all employees and applicants are treated fairly and with respect, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, marital status, veteran status, or any other characteristic protected by applicable provincial, federal, state, or local law.

We believe in fostering a work environment that promotes equal opportunities for all individuals and strive to eliminate any barriers to employment and advancement. We are dedicated to providing equal opportunities in hiring, promotions, compensation, benefits, training, and all other aspects of employment.

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More about this job

Responsibilities

The role involves developing advanced analytical and economic models to provide data-driven insights for RNG and CCUS sectors. You will collaborate with clients to create customized solutions and streamline the reporting process for large datasets.

Requirements

Candidates need a bachelor's degree in Engineering, Mathematics, Computer Science, or Finance and at least 2 years of relevant experience. Proficiency in Python, SQL, VBA, and Excel is required, along with a strong interest in low-carbon energy technologies.

Skills

Market Analysis
Analytical Modeling
VBA
Python
Excel
SQL
Statistical Methods
Optimization Concepts
Data Management
Economic Modeling
Communication Skills
Attention To Detail

Benefits

Comprehensive health benefits
Dental benefits
Vision benefits
Savings program with company matching
Learning and development budget
Paid vacation days
Paid sick days
Company holidays

Visa sponsorship

Not detected in the job text

Keywords

Renewable Natural Gas
RNG
Carbon Capture, Utilization and Storage
CCUS
Energy Transition
Predictive Analytics
Data Orchestration
VBA
Python
SQL
Excel
Economic Modeling
Market Analysis
Decarbonization
Low Carbon
Statistical Methods
Optimization
Data Sets

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