Remote Energy Data Analyst

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

About the Role

Our client, a forward-thinking innovator in the energy sector, is actively seeking a talented and detail-oriented Remote Energy Data Analyst. This fully remote position allows you to leverage your analytical skills to interpret vast datasets, driving insights and strategies for energy consumption, generation, and grid management from anywhere in the world. You will play a critical role in supporting data-driven decision-making across various departments, including operations, strategy, and market analysis. The ideal candidate will possess strong quantitative skills, proficiency in data analysis tools and programming languages, and a solid understanding of energy market dynamics. This role is perfect for an individual who thrives in an independent work environment, excels at transforming complex data into actionable intelligence, and is passionate about contributing to the future of sustainable energy. As a remote team member, you will collaborate with colleagues globally, contributing your expertise to a dynamic and evolving industry.

Key Responsibilities

• Collect, clean, and process large volumes of energy-related data from diverse sources, ensuring data accuracy and integrity.
• Perform complex data analysis using statistical methods and machine learning techniques to identify trends, patterns, and anomalies in energy consumption and production.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) and present findings to stakeholders.
• Collaborate with engineering, operations, and strategy teams to understand their data needs and provide analytical support.
• Build predictive models for energy demand, supply, and pricing to support strategic planning and risk management.
• Contribute to the development and implementation of data governance policies and procedures.
• Stay current with industry trends, emerging technologies, and best practices in energy data analytics.
• Identify opportunities to improve data collection processes and analytical methodologies.
• Communicate complex analytical findings clearly and concisely to both technical and non-technical audiences.
• Support ad-hoc data analysis requests to address immediate business needs and research questions within the energy domain.

Requirements

• Bachelor's degree in Data Science, Statistics, Economics, Computer Science, Engineering, or a related quantitative field.
• Master's degree is a plus.
• Proven experience (3+ years) as a Data Analyst, preferably within the energy sector.
• Strong proficiency in data analysis tools and programming languages such as Python (Pandas, NumPy, Scikit-learn) and R.
• Experience with SQL for database querying and data manipulation.
• Familiarity with data visualization tools like Tableau, Power BI, or similar platforms.
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Excellent analytical and problem-solving skills, with a keen attention to detail.
• Strong communication and presentation skills, with the ability to explain technical concepts to a diverse audience.
• Demonstrated ability to work independently and manage time effectively in a remote work setting.
• Knowledge of energy markets, grid operations, or renewable energy technologies is highly advantageous.

Benefits

• Fully remote work arrangement, offering flexibility and work-life balance.
• Competitive salary package.
• Performance-based bonuses.
• Comprehensive health and wellness benefits.
• Opportunities for professional development, certifications, and attending virtual conferences.
• Contribution towards home office setup.
• Collaborative international team environment.
• Access to cutting-edge analytical tools and cloud platforms.