Forecast Solutions Analyst I

ENGIE North America Inc. is leading the Zero-Carbon Transition by developing renewable, efficient, and accessible energy solutions. The Forecast Solutions Analyst I will support pre-deal activities by analyzing load data and providing insights to enhance forecasting processes. This entry-level position requires a strong understanding of electric market fundamentals and the ability to deliver high-quality analytical work.

Responsibilities

• Support the pre-deal load data processing queue for assigned markets consistent with established service level agreements, guidelines, and standards
• Support improving the customer experience by delivering the cleanest, most efficient, most accurate forecasts possible through optimization, harmonization, synchronization of our processes and platforms
• Develop a thorough understanding of the assigned market, internal and external platforms used by the team, and the impact of the analyst’s work product on stakeholders and company performance

Skills

• You hold a Bachelor's degree in Business, Finance, Economics, Engineering, Mathematics, Statistics, Data Science, or a related quantitative or analytical field
• We will also accept four (4) years directly relevant experience in lieu of degree
• This is an entry-level position where prior experience is not required, but you will be expected to develop analytical skills in a business environment
• You have the ability to deliver time-sensitive, high-quality work products while managing competing priorities and internal stakeholder expectations
• You are knowledgeable in energy market fundamentals, including electric load properties (e.g., usage, demand, load factor, voltage, losses, read cycles) and deregulated market design
• You have strong problem-solving, analytical, and statistical skills, with the ability to identify anomalies and fundamental changes in customer and historical usage data
• You have experience handling, manipulating, and analyzing large volumes of electric usage and customer account data, including working with incomplete or flawed datasets
• You have intermediate or higher proficiency in MS Excel and the ability to extract, manage, and analyze large datasets, including data manipulation and adjustment
• You have exposure to data visualization tools (e.g., Power BI or Tableau), SQL-based databases (Oracle or Microsoft SQL), and scripting or statistical languages such as Python, SAS, or R

Benefits

• Medical, dental, vision, life insurance
• Employer-paid short-term and long-term disability insurance
• ESPP
• Generous paid time off including wellness days, holidays and leave programs
• 401(k) Retirement Savings Plan with a company match
• Supplemental benefits for full time employees that enhance emotional and physical well-being through all stages of life from family forming to caregiver benefits

Company Overview