Remote Energy Data Analyst

About the Role

Our client is seeking a meticulous and insightful Remote Energy Data Analyst to join their growing analytics team. In this fully remote position, you will be instrumental in collecting, processing, and analyzing vast datasets related to energy consumption, generation, and market trends. Your insights will help inform strategic decisions, optimize energy efficiency programs, and identify new opportunities within the energy sector. You will work closely with various departments, translating complex data into actionable business intelligence. This role offers the flexibility of remote work combined with the challenge of impactful data-driven work.

Key Responsibilities

• Collect, clean, and validate large datasets from various energy sources and systems.
• Develop and implement data models and analytical frameworks to extract meaningful insights.
• Analyze energy consumption patterns, generation efficiency, and market price fluctuations.
• Create dashboards, reports, and visualizations to communicate findings to stakeholders.
• Identify trends, anomalies, and opportunities for cost savings or performance improvements.
• Collaborate with engineering and operations teams to support data-driven initiatives.

Requirements

• Bachelor's degree in Data Science, Statistics, Economics, Engineering, or a related quantitative field.
• Minimum of 4 years of experience in data analysis, preferably within the energy industry .
• Proficiency in data analysis tools and programming languages such as Python, R, SQL.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Strong understanding of statistical methods and machine learning concepts.
• Excellent communication skills and the ability to work effectively in a remote team environment.

Benefits

• Competitive salary with remote work flexibility.
• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off and holidays.
• Home office stipend and technology allowance.
• Opportunities for professional development and advanced data analytics training.