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Associate Intelligence, Power And Renewables - 23130

Company

Enverus

Address Calgary, Alberta, Canada
Employment type FULL_TIME
Salary
Category Software Development
Expires 2023-05-11
Posted at 1 year ago
Job Description
Description


Associate, Power & Renewables - Intelligence


Why YOU want this position


Enverus is the leading energy SaaS company delivering highly technical insights and predictive/prescriptive analytics that empower customers to make decisions that increase profit. Enverus’ innovative technologies drive production and investment strategies, enable best practices for energy and commodity trading and risk management, and reduce costs through automated processes across critical business functions. Enverus is a strategic partner to more than 6,000 customers in 50 countries.


We are currently seeking an Associate, Power & Renewables to join our Intelligence team. This role offers the opportunity to join a rapidly growing company delivering industry-leading solutions to customers in the world’s most dynamic and fastest-growing sector.


We are currently seeking a highly driven team player to join our Intelligence team in Calgary, AB. This role offers the opportunity to join a rapidly growing company partnering with customers in the world’s most dynamic and fastest-growing sector. Enverus is the right company at the right time.


As an Associate on our Power & Renewables Intelligence team, you will collaborate with a multidisciplinary team of financial analysts, engineers, economists, data scientists, developers, and others in producing research for institutional investors and corporate clients. Collectively, you will work to both enhance our technology platform and leverage it to interact directly with clients and help answer some of the hardest questions facing industry and investors today.


Performance Objectives


  • Update, maintain and improve proprietary databases critical for formulating opinions on assets including economic assumptions, operational velocity metrics, and financial data.
  • Participate in conference calls and in-person meetings with clients and prospects, leveraging Enverus Intelligence™, Enverus Foundations™ and Enverus Core™ solutions to help answer some of the hardest questions facing industry and investors today.
  • Identify and create workflows for external and internal clients to improve accuracy and speed in decision making processes.
  • Research and communicate to clients the intricacies of traditional thermal and renewable generation technologies (coal, gas, nuclear, solar, wind, hydro), and emerging technologies (hydrogen electrolysers and fuel cells, lithium storage, DCFC, micro-inverters, CCUS, etc)
  • Develop specialized financial and forecasting models using securities filings, investor documents, transcripts, press releases, internal global scouting, and other sources. These models support research publications and are integrated with Enverus’ proprietary technology platform, Enverus Prism™


Competitive Candidate Profile


  • Has a can-do attitude along with a deep sense of curiosity
  • Excellent interpersonal and communication skills, strong attention to detail, self-motivated with a strong work ethic.
  • Proven problem-solving skills with an ability to analyze and concisely articulate complex ideas through writing and verbal presentations
  • Self-motivated with a strong desire to develop a deep understanding of the technologies and companies driving the energy transition and to become the leading expert in this field
  • Experience in large data sets, building financial economic models and data visualizations
  • Bachelor’s or advanced degree in Economics/Engineering/Finance, or related field
  • Ambition to work collaboratively on an interdisciplinary team of subject matter experts with a steep learning curve and commitment to career development
  • Outstanding record of academic achievement and demonstrated aptitude for analytics
  • Analytical experience with electricity markets a plus
  • Demonstrated ability to synthesize actionable analysis from large, dynamic data sets