Associate, Research - 2566

Description
India Associate, Power & Renewables - Energy Transition Intelligence
Description
Associate, Power & Renewables - Energy Transition 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.
Enverus delivers business-critical insights to the global energy industry through a state-of-the-art SaaS platform built on industry-leading data and energy analytics. Our solutions deliver value across the entire energy value chain, empowering customers to be more agile, efficient, and competitive.
We are currently seeking a highly driven team player to join our Intelligence team in India. 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 the industry and investors today.
Performance Objectives

• Identify and create workflows for external and internal partners to aid in their decision-making processes
• Assist with maintenance of various automation and upgrades to existing automation
• Pitch innovative ideas for streamlining ops and assist in deploying scripts for various Enverus products
• Manipulate, process and standardize large datasets in a timely manner

• Research, identify and test new datasets publicly available online
• 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 may become integrated with Enverus' proprietary technology platform, Enverus Prism™

• 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.

Competitive Candidate Profile

• 0-2 years of work experience is preferred
• Strong Microsoft Office skills
• Strong grasp of programming languages for data manipulation, preferably Python, Pyspark, SQL
• GIS skills a plus
• Creative and analytical mindset

• Experience in large data sets and data visualizations

• Innovative mindset and detail-oriented with strong curiosity to learn
• Ability to work independently with good time management skills
• Demonstrated ability to synthesize actionable analysis from large, dynamic data sets.

• Ambition to work collaboratively on an interdisciplinary team of subject matter experts with a steep learning curve and commitment to career development
• 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
• Bachelor's or advanced degree in Economics/Engineering/Finance, or related field

This role is eligible for: Variable Compensation