Energy Systems Analyst

Placements24; LegKraal Gate; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Performance-based incentives

Fully remote

Home office allowance

Health, dental, and vision insurance

Renewable energy projects

Job summary

Placements24 is seeking an Energy Systems Analyst to join a fully remote team. The role focuses on analyzing large energy datasets, building models, and delivering data-driven recommendations to improve efficiency and reliability in energy systems.

You will work with Python/R/MATLAB, develop simulations, and present findings to stakeholders. A Master’s degree and 4+ years of experience in energy analytics are required, along with strong communication skills and remote collaboration capability.

Qualifications

• Master's degree required in a quantitative field (Engineering/Data Science/Economics).
• 4+ years in energy systems analysis, data modeling or related analytics role.
• Proficiency in Python/R/MATLAB for data analysis and modeling.
• Strong understanding of energy markets, power systems, and renewables.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Collect, clean, and analyze large energy datasets (generation, consumption, grid performance).
• Develop and maintain simulation models to assess impacts of technologies and policies.
• Identify trends and opportunities to improve energy system efficiency and reliability.
• Prepare reports and presentations for stakeholders with actionable insights.
• Collaborate with engineering and planning teams to inform data-driven decisions.
• Stay updated on energy tech advances and analytic methods.

Skills

Data analysis

Statistical modeling

Remote teamwork

Education

Master's degree in Engineering, Data Science, Economics, or related quantitative field

Tools

Python

R

MATLAB

Job description

About the Role

Our client is seeking a detail-oriented Energy Systems Analyst to join their remote team. This position will focus on analyzing complex energy data to support strategic decision-making, optimize system performance, and contribute to the development of innovative energy solutions. You will work with large datasets, develop models, and provide insights into energy generation, distribution, and consumption patterns. This fully remote role offers the flexibility to work from home while contributing to critical projects that shape the future of energy infrastructure. The ideal candidate possesses strong analytical acumen and a passion for renewable energy and sustainability.

Key Responsibilities

• Collect, clean, and analyze large datasets related to energy generation, consumption, and grid performance.
• Develop and maintain simulation models to assess the impact of various energy technologies and policies.
• Identify trends, anomalies, and opportunities for improving energy system efficiency and reliability.
• Prepare comprehensive reports and presentations of analytical findings for stakeholders.
• Collaborate with engineering and planning teams to provide data-driven recommendations.
• Stay informed about advancements in energy technologies and analytical methodologies.

Requirements

• Master's degree in Engineering, Data Science, Economics, or a related quantitative field.
• Minimum of 4 years of experience in energy systems analysis, data modeling, or a related analytical role.
• Proficiency in data analysis tools and programming languages such as Python, R, or MATLAB.
• Strong understanding of energy markets, power systems, and renewable energy technologies.
• Excellent analytical, problem-solving, and statistical modeling skills.
• Proven ability to work effectively in a remote team environment and communicate complex technical information clearly.

Benefits

• Competitive salary with performance-based incentives.
• Fully remote work arrangement with flexible working hours.
• Generous allowance for home office setup and professional development.
• Comprehensive health, dental, and vision insurance.
• Opportunity to contribute to meaningful projects in the renewable energy sector.