Remote Energy Data Analyst - Insights & Impact

Placements24; Willows (CA); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Fully remote

Competitive salary

Bonuses

Health benefits

Professional development

Home office allowance

International team

Cloud tools access

Job summary

Placements24 is seeking a Remote Energy Data Analyst to interpret large energy datasets and drive insights across operations, strategy, and market analysis. You will build models, develop dashboards, and collaborate with colleagues worldwide while delivering data-driven recommendations.

The ideal candidate has 3+ years of data analytics experience, strong Python and SQL skills, and a solid understanding of energy market dynamics.

Qualifications

• Bachelor’s degree in a quantitative field such as Data Science, Statistics, Economics, CS or Engineering.
• Master’s degree is a plus.

Responsibilities

• Collect, clean, and process large energy-related datasets.
• Perform complex data analysis to identify trends, patterns, and anomalies in energy consumption and production.
• Develop dashboards and reports to visualize KPIs and present findings to stakeholders.
• Collaborate with engineering, operations, and strategy teams to understand data needs and provide analytical support.
• Build predictive models for energy demand, supply, and pricing to support planning and risk management.
• Contribute to data governance policies and procedures.

Skills

Python

R

SQL

Tableau

Power BI

Pandas

NumPy

Scikit-learn

Education

Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, Engineering, or related quantitative field

Master’s degree is a plus

Tools

Tableau

Power BI

Job description

Placements24 is seeking a Remote Energy Data Analyst to interpret large energy datasets and drive insights across operations, strategy, and market analysis. You will build models, develop dashboards, and collaborate with colleagues worldwide while delivering data-driven recommendations.

The ideal candidate has 3+ years of data analytics experience, strong Python and SQL skills, and a solid understanding of energy market dynamics.