Remote Energy Systems Analyst

Placements24; Klerksdorp; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Health insurance

Remote work stipend

Flexible working hours

Career development

Job summary

Placements24 is seeking a highly analytical Remote Energy Systems Analyst to support operations across energy projects, analyzing data, monitoring performance, and delivering insights that drive optimization.

The role emphasizes developing dashboards, forecasting, and collaborating with engineers and managers in a fully remote environment, with opportunities to grow in energy analytics and market understanding.

Qualifications

• Bachelor's degree in a quantitative field required.
• Minimum 5 years of data analysis experience, preferably in energy sectors.
• Proficiency in Python, R, SQL and Excel.
• Experience with energy modeling software is a plus.
• Strong understanding of energy markets or renewables recommended.

Responsibilities

• Analyze large energy data sets to identify trends and anomalies.
• Develop and maintain dashboards and reports for energy assets and projects.
• Conduct feasibility studies and support new energy infrastructure optimization.
• Monitor real-time energy system performance and forecast issues.
• Collaborate with project managers, engineers, and stakeholders to communicate findings.
• Stay updated on industry trends, regulations, and tech advances in energy.

Skills

Data analysis

Remote teamwork

Communication

Analytical mindset

Education

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

Tools

Python

R

SQL

Excel

Energy modeling software

Job description

Our client is looking for a highly analytical and detail-oriented Remote Energy Systems Analyst to join their distributed team, supporting operations across various energy projects. This fully remote position involves in-depth data analysis, performance monitoring, and reporting on energy generation, consumption, and efficiency metrics. You will play a key role in identifying trends, optimizing system performance, and providing insights that drive strategic decision-making for our diverse energy portfolio. The ideal candidate thrives in a remote work environment, possesses exceptional analytical skills, and has a strong understanding of energy markets and technologies. This is an excellent opportunity to contribute your expertise from anywhere, impacting the efficiency and sustainability of energy solutions.

Key Responsibilities

• Analyze large datasets related to energy production, consumption, and grid performance to identify trends and anomalies.
• Develop and maintain performance dashboards and reports for various energy assets and projects.
• Conduct feasibility studies and provide analytical support for new energy infrastructure development and optimization projects.
• Monitor the real-time performance of energy systems, forecasting potential issues and recommending proactive measures.
• Collaborate virtually with project managers, engineers, and stakeholders to communicate analytical findings and recommendations.
• Stay abreast of industry trends, regulatory changes, and technological advancements in the energy sector.

Requirements

• Bachelor's degree in Engineering, Data Science, Economics, or a related quantitative field.
• Minimum of 5 years of experience in data analysis, preferably within the energy industry or a related field.
• Proficiency in data analysis tools and languages such as Python, R, SQL, and Excel.
• Experience with energy modeling software or systems is a plus.
• Strong understanding of energy markets, power systems, or renewable energy technologies.
• Excellent communication skills and demonstrated ability to work effectively in a remote team environment.

Benefits

• Competitive annual salary commensurate with experience.
• Comprehensive health, dental, and vision insurance coverage.
• Generous remote work stipend and technology support.
• Flexible working hours to accommodate different time zones.
• Opportunities for professional growth and certifications in energy analytics.