Energy Market Analyst - Data Modeling & Insights (Remote)

Energy Exemplar Pty Ltd; United States; Remote; USD 85,000 - 125,000; Full time

Benefits offered by this job

Remote work

Job summary

Energy Exemplar Pty Ltd is seeking an Energy Market Analyst to join our India-based team, focusing on model development, testing, and data-driven delivery. The role involves maintaining and improving models, performing scenario analyses, and delivering BI reports and dashboards to support client decisions.

The position emphasizes data integrity, collaboration with senior analysts, and the ability to work across data sources and market contexts. Remote-friendly with competitive compensation.

Qualifications

• Bachelor’s degree in Energy Economics, Engineering, Data Science, or a related field.

Responsibilities

• Support senior analysts in identifying and implementing model enhancements, such as integrating new data sources or refining model assumptions.
• Perform regular updates to energy market models, incorporating bulk data transfers and ensuring model parameters align with the latest market data.
• Support data preparation, cleansing, and structuring to maintain data integrity and facilitate accurate modeling.
• Assist in developing and running energy market scenarios and sensitivity analyses, adjusting model parameters to test different market conditions and reporting insights.
• Develop and maintain BI reports and dashboards using Microsoft Power BI, transforming data into visually engaging insights for internal and client presentations.
• Document workflows, processes, and updates to ensure consistent and efficient model management practices.

Job description

Energy Exemplar Pty Ltd is seeking an Energy Market Analyst to join our India-based team, focusing on model development, testing, and data-driven delivery. The role involves maintaining and improving models, performing scenario analyses, and delivering BI reports and dashboards to support client decisions.

The position emphasizes data integrity, collaboration with senior analysts, and the ability to work across data sources and market contexts. Remote-friendly with competitive compensation.