Remote Wind Energy Analyst

Placements24; Stellenbosch; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Remote work

Health insurance

Paid time off

Professional development

Bonuses

Job summary

Placements24 is seeking a highly analytical Remote Wind Energy Analyst to join their forward-thinking team. This fully remote position involves in-depth analysis of wind resource data, turbine performance, and energy market dynamics to support wind power projects in South Africa.

You will work with large datasets, using modeling techniques to provide insights for investment and operations. The role requires strong quantitative skills and a deep understanding of wind energy economics.

Qualifications

• Master's degree in a quantitative field is required.
• Minimum 4 years of wind energy analysis or related modeling experience.
• Proficiency with wind modeling software and data analysis tools (Python, R, MATLAB).

Responsibilities

• Analyze wind resource data to assess site potential and optimize turbine placement.
• Develop wind energy production models to forecast output and financial returns.
• Evaluate performance of existing wind farms and identify opportunities for improvement.
• Conduct market analysis related to energy prices, policy incentives, and competitive landscapes.
• Prepare detailed reports and presentations for internal teams and external stakeholders.
• Collaborate virtually with engineering, development, and finance teams to support project lifecycle.

Skills

Quantitative analysis

Remote collaboration

Wind energy knowledge

Education

Master's degree in a quantitative field

Tools

WAsP

WindFarmer

OpenWind

Python

R

MATLAB

Job description

About the Role

Our client is seeking a highly analytical Remote Wind Energy Analyst to join their forward-thinking team. This fully remote position involves performing in-depth analysis of wind resource data, turbine performance, and energy market dynamics to support the development and optimization of wind power projects. You will work with large datasets, employ sophisticated modeling techniques, and provide critical insights that drive investment and operational efficiency. This is an excellent opportunity for a professional passionate about renewable energy to contribute to the growth of wind power across South Africa , working remotely from any location. The role requires strong quantitative skills and a deep understanding of wind energy technologies and economics.

Key Responsibilities

• Analyze wind resource data to assess site potential and optimize turbine placement.
• Develop and utilize wind energy production models to forecast output and financial returns.
• Evaluate the performance of existing wind farms and identify opportunities for improvement.
• Conduct market analysis related to energy prices, policy incentives, and competitive landscapes.
• Prepare detailed reports and presentations for internal teams and external stakeholders, translating complex data into clear insights.
• Collaborate virtually with engineering, development, and finance teams to support project lifecycle.

Requirements

• Master's degree in Engineering, Environmental Science, Statistics, Economics, or a related quantitative field.
• Minimum of 4 years of experience in wind energy analysis, resource assessment, or energy modeling.
• Proficiency with wind modeling software (e.g., WAsP, WindFarmer, OpenWind) and data analysis tools (e.g., Python, R, MATLAB).
• Strong understanding of wind turbine technology, site development processes, and grid interconnection issues.
• Excellent remote communication and collaboration skills, with the ability to work independently and manage priorities effectively.

Benefits

• Competitive salary and performance-based bonuses.
• Fully remote work arrangement providing excellent work-life balance and flexibility.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and professional development opportunities.
• Opportunity to shape the future of wind energy in South Africa with a leading company.