Remote Energy Data & Forecasting Analyst

Placements24

Mossel Bay

Hybrid

ZAR 420,000 - 680,000

Full time

11 days ago
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Benefits offered by this job

Fully remote
Competitive salary
Benefits package
Learning platform access

Job summary

Placements24 is seeking a detail-oriented Remote Energy Data Analyst to join a fully remote team. You will extract insights from large energy datasets, develop predictive models, and build dashboards to inform strategic decisions.

The role emphasizes energy market analysis, visualization delivery, and collaboration with engineering and operations to translate data into practical energy-saving actions. Remote work offers flexibility and growth in the energy analytics field.

Qualifications

  • Bachelor's degree in a quantitative field.
  • Minimum 3 years of experience as a Data Analyst, preferably in energy.
  • Proficiency in Python, R or SQL for analysis.
  • Experience creating data visualizations with Tableau/Power BI.
  • Strong statistical modeling and ML understanding.
  • Excellent remote collaboration and communication skills.

Responsibilities

  • Collect, clean, and analyze large energy-related datasets.
  • Develop statistical models and ML algorithms for forecasting.
  • Create clear data visualizations and dashboards for stakeholders.
  • Identify trends and anomalies to drive optimization.
  • Collaborate with engineering and operations to translate insights into actions.
  • Maintain data integrity and ensure privacy compliance.

Skills

Python (Pandas, NumPy)
SQL
R
Tableau
Power BI
Statistics

Education

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

Tools

Tableau
Power BI

Job description

Placements24 is seeking a detail-oriented Remote Energy Data Analyst to join a fully remote team. You will extract insights from large energy datasets, develop predictive models, and build dashboards to inform strategic decisions.

The role emphasizes energy market analysis, visualization delivery, and collaboration with engineering and operations to translate data into practical energy-saving actions. Remote work offers flexibility and growth in the energy analytics field.

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