Apply on Employer Site

Zema Global Data Corporation · 3 months ago

Energy Analyst II (Denver, CO)

Greenwood Village, Colorado, United States

Full-time

Hybrid

Entry, Mid Level

$75K/yr - $85K/yr

2+ years exp

Zema Global Data Corporation is a leader in enterprise data management solutions for the energy and commodities sectors. The Energy Analyst II will assist with software implementations, customer support, and enhancements related to analytical models, while interfacing directly with users to optimize the value of the cQuant solution.

ConsultingData CenterData IntegrationInformation TechnologyInfrastructureManagement ConsultingSoftware

No H1B

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

Qualification

StatisticsTime series analysisR programmingPythonEnergy industry knowledgeFinancial derivativesUser-centric mindsetInterpersonal skillsProblem solvingDetail oriented

Required

Master's degree in a quantitative discipline (e.g., mathematics, economics, physics, quantitative finance, engineering, or other) or a Bachelor's degree along with 2+ years of relevant wholesale electric power industry experience in a quantitative role

Have a solid grasp of statistics and time series analysis concepts including probability distributions, regression models, and stochastic processes

Have excellent interpersonal skills and be comfortable interacting directly with clients to communicate complex concepts to both technical and non-technical audiences

Demonstrate familiarity with R (preferred) or Python (accepted) code development and maintenance, with particular emphasis on troubleshooting/debugging and resolving runtime errors

Be highly detail oriented and know how to validate their own work to ensure accuracy

Display a genuine passion for analytics, data, and software engineering while maintaining a user-centric mindset with emphasis on the end-user experience

Be familiar with wholesale energy industry concepts including renewable and thermal generation, battery storage, deal structuring, etc

Be conversant in basic financial structures including swaps/forward contracts, European options, and other elementary financial derivatives

Have experience developing software/analytical models with an eye toward code maintainability and robustness

Have at least a working knowledge of the R programming language for both analysis and data visualization