Remote Renewable Energy Analyst - Market Insights & Forecasting

Placements24; Klerksdorp; Hybrid; ZAR 420,000 - 540,000; Full time

Benefits offered by this job

Medical aid

Retirement contributions

Flexible remote work

Job summary

Placements24 is seeking a Renewable Energy Analyst to join a forward-thinking energy consultancy. The role is fully remote with a strong connection to Klerksdorp, North West, SA, focusing on market analysis, forecasting trends, and supporting strategic decisions for clients investing in renewables.

Ideal candidates have 3+ years in market analysis or financial modelling, proficiency in Excel and data tools (R/Python/Tableau), and familiarity with SA energy markets.

Qualifications

• Bachelor's or Master's degree in a quantitative field.
• 3+ years in market analysis, financial modeling, or consulting.
• Strong analytical and data interpretation skills.
• Experience with Excel and data tools (R/Python/Tableau) is a plus.

Responsibilities

• Conduct market research on renewable technologies and SA dynamics.
• Build financial models and forecasts for projects.
• Analyze policy/regulatory developments affecting renewables.
• Prepare reports, presentations, and data visuals for clients.
• Monitor KPIs and identify trends, risks, and opportunities.
• Support business development with senior analysts.
• Stay updated on global best practices in renewables.
• Maintain market data, project pipelines, and policy databases.

Skills

Analytical skills

Quantitative analysis

Communication (written and verbal)

Independent remote work

Education

Bachelor's or Master's in Economics/Finance/Engineering/Environmental Science or related quantitative field

Tools

Excel

R

Python

Tableau

Job description

Placements24 is seeking a Renewable Energy Analyst to join a forward-thinking energy consultancy. The role is fully remote with a strong connection to Klerksdorp, North West, SA, focusing on market analysis, forecasting trends, and supporting strategic decisions for clients investing in renewables.

Ideal candidates have 3+ years in market analysis or financial modelling, proficiency in Excel and data tools (R/Python/Tableau), and familiarity with SA energy markets.