Energy Analyst II (Denver, CO)

Reposted 24 Days Ago
Be an Early Applicant
Greenwood Village, CO
In-Office
Junior
Information Technology • Software • Analytics • Automation
The Role
The Energy Analyst II will assist with software implementations and customer support while developing analytical models and visualizations within cQuant's energy analytics platform.
Summary Generated by Built In

Job Type: Full-time

Work Model: Hybrid

Location: Denver, CO, USA (Hybrid role, only candidates based in Colorado will be considered)

About us

Founded in 1995, Zema Global Data Corporation empowers organizations to simplify complexity, reduce risk, and make faster, more confident decisions that drive measurable results. Over the past two years, Zema Global has accelerated its growth through strategic investment and acquisition to strengthen our global leadership. Together we’re helping our customers gain a Decisioning Advantage – one bold idea at a time. With a presence across global energy, commodity, and financial markets, Zema Global empowers customers to simplify complexity, reduce risk, and make faster, more confident decisions that drive measurable results.

At Zema Global, we Think Big, Make It Happen, and Win as One. We thrive on collaboration, creativity, and respect, united by a shared drive to innovate and deliver meaningful impact for our customers and communities. If you’re inspired by solving complex challenges and contributing to a culture that values purpose and performance, we invite you to join us.

 

ABOUT THE ROLE:

cQuant is seeking an Energy Analyst II to assist with software implementations, ongoing customer support, and maintenance/enhancements related to the analytical models within its web-based energy analytics platform.

The Energy Analyst II will interface directly with cQuant’s users, helping to instill best practices in quantitative modeling for portfolios amid the energy transition and enabling these users to realize maximum value from the cQuant solution. The Energy Analyst II will also work closely with various other departments within cQuant, including sales and marketing, quantitative development, and platform software, to assist in development, validation, quality assurance, and documentation of new energy-focused analytical products and features. The direct client-facing nature of the role will require the successful candidate to demonstrate both strong technical and problem solving abilities as well as excellent written and verbal communication skills. 

If you are passionate about the energy industry and want to be at the forefront of the quantitative analytics enabling the energy transition, we want to hear from you! 

 

JOB RESPONSIBILITIES 

  • Configuring, calibrating, and validating cQuant’s analytical models within implementation projects and/or ad hoc engagements. 
  • “Wrangling” energy and financial data. 
  • Providing direct analytical support to existing and/or prospective clients. 
  • Troubleshooting/debugging software failures. 
  • Developing reporting dashboards and visualizations for integration into cQuant’s production software. 
  • Writing documentation for existing analytical functionality. 
  • Training cQuant users on existing functionality and best practices. 
  • Performing testing and QA of cQuant’s models and analytical feature enhancements. 
  • Implementing automated error checks and data validation for existing models. 
  • Generating client-facing reports in R or Microsoft Excel. 

 

REQUIRED SKILLS AND KNOWLEDGE 

The successful candidate will be highly self-motivated and work well within a close-knit and dynamic team of bright and driven analytical software professionals. Work is fast-paced and results oriented, with little room for error or re-work, and the ideal candidate will excel in this environment. 

Must-Have Qualifications & Skills:

  • Master’s degree in a quantitative discipline (Mathematics, Applied Mathematics, Statistics, Physics, Economics/Quantitative Economics or other) or a Bachelor’s degree along with 2+ years of relevant wholesale electric power industry experience in a quantitative role. 
  • Less than 3 years of relevant work experience (entry-level role).
  • Strong grasp of statistics and time series analysis (probability distributions, regression models, stochastic processes).
  • Python/R proficiency (4+ years including academic experience) for data analysis and model development. 
  • Excellent written and verbal communication skills; ability to explain complex technical concepts to clients.
  • Hands-on experience in configuring, calibrating, and validating analytical models.
  • Experience handling large datasets, reporting, and visualization development.
  • Strong problem-solving skills, attention to detail, and proactive mindset.
  • Self-motivated, highly organized, and able to work in a fast-paced, results-oriented environment.

Nice-to-Have Qualifications & Skills:

  • Familiarity with wholesale energy industry concepts (renewable and thermal generation, battery storage, deal structuring).
  • Basic understanding of financial derivatives (swaps, forwards, European options).
  • Experience in QA/testing for analytical software or model feature enhancements.
  • Teaching, tutoring, or training experience.
  • Prior experience in energy finance, risk management, or portfolio analysis.
  • Strong documentation skills and user-focused mindset.

What makes you a great fit:

  • You have a strong foundation in mathematics, physics, engineering, or quantitative finance, you think in models, not dashboards.
  • You’re comfortable applying quantitative methods like stochastic modelling, Monte Carlo simulation, or optimization to real-world energy problems.
  • You can code in Python or R, but your strength lies in how you use those tools to explore logic, probability, and data relationships, not just build visuals or pipelines.
  • You’re curious about energy markets and enjoy solving complex, abstract problems that don’t have a single “right” answer.
  • You can communicate complex concepts clearly, translating technical insights into business impact for stakeholders.

Not the right fit: candidates whose experience is limited to data cleaning, SQL, Power BI, or dashboarding, this isn’t a data visualization role.

Why Join us?

  • Be part of a rapidly growing company revolutionizing energy analytics, shaping how data drives decision-making across the energy and commodities markets.
  • Work with cutting-edge technology alongside a team of industry experts who are redefining market intelligence.
  • Significant opportunity to make a measurable impact on product strategy, revenue growth and customer success, with clear paths for career advancement.
  • Join a company culture that values innovation, collaboration and customer-centric thinking, giving you the autonomy to drive meaningful change.

How to Apply?
- If you're excited about this opportunity, send us your application highlighting your qualifications and experience relevant to the role and we'll get back to you as soon as possible (we only accept CVs in English).

-We appreciate all applications, but only shortlisted candidates will be contacted for further consideration. Thank you for your interest. And strictly no agency calls or agency CV submissions.

We’re looking forward to seeing how you can make an impact with us!

 

*** No visa sponsorship is available for this position ***

Equality and Diversity: we’re all about creating equal opportunities for everyone - no matter your background, abilities, or experiences. If you need any adjustments during the recruitment process to help you shine, just let us know! Our Talent Team is here to support you and ensure everything goes smoothly.

Top Skills

Excel
Python
R
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The Company
HQ: Denver, Colorado
314 Employees
Year Founded: 1995

What We Do

Zema Global offers complete end to end data, analytics and integration platforms and services to customer engaged in commodities and energy sectors.

Accurate data and effective data management are vital components of IT systems that run mission critical business applications. Zema's solutions provide data and analytical information to inform smarter risk, trading and operational decisions.

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