Energy Analyst II (US)

Zema Global Data Corp
  • NY
  • $85,000–$100,000 Per Year
12 days ago

Job Description

Energy Analyst II (US) @ Zema Global

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Energy Analyst II (US)

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Job details

Department / Customer Experience

Denver, Illinois - remote, Texas - remote, Massachusetts - remote

Full-time

$85,000 USD - $100,000 USD

Location: US

Position Type: Full-time, Permanent

Industry: Energy Data, Commodities & Financial Technology (FinTech)

Report To: Manager of Analytics

Visa Sponsorship: Not available

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.

Position Overview

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!

What Youll Be Doing

  • 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.

What Youll Bring

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.

Essential

  • 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.

Desirable

  • 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?

  • Global Impact

Shape the future of energy, commodities, and financial markets through innovative technology.

  • Innovation at Scale

Work with cutting-edge software, advanced analytics, and complex data that solve real-world challenges.

  • Career Growth

Join a fast-growing global organization where your ideas, development, and career progression are valued.

  • Exceptional People

Collaborate with talented colleagues and industry experts across North America, Europe, and Asia.

  • Meaningful Ownership

Take ownership of your work, influence strategic initiatives, and make a measurable impact on our customers and business.

  • One Global Team

Be part of a collaborative culture built on trust, respect, and our values: Think Big. Make It Happen. Win as One.

Application Information Please submit your English CV in PDF format. If your experience aligns with our requirements, our Talent Acquisition team will contact you regarding the next steps.

Please note: Visa sponsorship is not available for this position.

Equality, Diversity & Inclusion

Zema Global is committed to building an inclusive workplace where everyone can thrive. We encourage applications from all qualified candidates regardless of background or protected characteristic.

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AI disclaimer

This application process may use AI-enabled systems to support candidate evaluation based on factors such as experience, technical skills, and qualifications. All processing is carried out in accordance with applicable data protection, AI governance, and labour laws. Human oversight is maintained at all stages, and final hiring decisions are made by people. Personal data submitted as part of this application is not used to train AI models.

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Numbers & Facts

LocationNY
Salary$85,000–$100,000 Per Year

Skills

  • Acquisition Strategyunmatched
  • Analysis Skillsunmatched
  • Analysis Softwareunmatched
  • Artificial Intelligence (AI)unmatched
  • Best Practicesunmatched
  • Career Developmentunmatched
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  • Quality Assuranceunmatched
  • Quantitative Analysisunmatched
  • R Programming Languageunmatched
  • Reporting Dashboardsunmatched
  • Reporting Skillsunmatched
  • Risk Managementunmatched
  • SQL (Structured Query Language)unmatched
  • Salesunmatched
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  • Statisticsunmatched
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  • Testingunmatched
  • Time Series Analysisunmatched
  • Validation Testingunmatched
  • Web Analyticsunmatched
  • Wholesale Industryunmatched
  • Writing Skillsunmatched

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