Remote Senior Energy Storage & Grid Optimization Analyst

Placements24

Gqeberha

Hybrid

ZAR 900,000 - 1,300,000

Full time

45 hours ago
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Benefits offered by this job

Health insurance
Retirement annuity
Professional development funding
Home office setup allowance
Volunteer time off

Job summary

Placements24 is seeking a Senior Energy Storage Systems Analyst to conduct techno-economic analyses and develop performance models for ESS technologies in a fully remote South Africa role. You will focus on battery systems such as Li-ion and flow batteries, supporting utility-scale deployments and industrial applications.

The position requires strong quantitative skills, SA market knowledge, and experience with Python-based data analysis.

Qualifications

  • Master's degree in a related quantitative field is required.
  • 6+ years of experience in energy storage systems analysis or energy economics.
  • Strong analytical, numerical, and communication abilities.
  • Experience with SA energy markets is a plus.

Responsibilities

  • Conduct techno-economic analyses of energy storage projects and assess viability.
  • Develop and use advanced performance models for ESS technologies.
  • Analyze grid services markets and ESS participation opportunities.
  • Optimize ESS operations to maximize revenue and battery health.
  • Prepare technical reports, presentations, and investment case studies.

Skills

Analytical skills
Quantitative skills
Communication skills
Python
Remote work
Energy markets experience

Education

Master's degree in Electrical Engineering, Energy Systems, Economics, or related quantitative field

Tools

Python
Simulation tools

Job description

Placements24 is seeking a Senior Energy Storage Systems Analyst to conduct techno-economic analyses and develop performance models for ESS technologies in a fully remote South Africa role. You will focus on battery systems such as Li-ion and flow batteries, supporting utility-scale deployments and industrial applications.

The position requires strong quantitative skills, SA market knowledge, and experience with Python-based data analysis.

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