Energy Market Analyst - Data Science Focus

Placements24; Vereeniging; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary and bonus

Fully remote work arrangement

Health, dental, and vision insurance

Home office equipment allowance

Professional development courses

Job summary

Placements24 seeks an Energy Market Analyst to join its fully remote strategy team. The role focuses on building predictive models and analyzing large datasets to uncover trends that inform trading decisions.

You will forecast prices, analyze diverse data sources, and translate findings into actionable insights, collaborating with traders and other analysts to shape energy market strategy.

Qualifications

• Master's or PhD in Data Science, Statistics, Economics, or related quantitative field.
• 5+ years of data analysis and modeling experience, with focus on energy markets or financial modeling.
• Proficiency in Python or R, with libraries for data manipulation, statistics, and ML (Pandas, Scikit-learn, TensorFlow).
• Experience with SQL and data visualization tools (Tableau, Power BI).
• Deep understanding of energy commodity markets (gas, power, renewables).
• Strong problem-solving and remote-work capabilities.

Responsibilities

• Develop and implement advanced statistical and machine learning models to forecast energy prices and market movements.
• Analyze large, diverse datasets from market data, weather, economics, and regulatory news to identify drivers.
• Design and conduct deep-dive analyses into specific energy market segments and emerging trends.
• Communicate complex analytical findings clearly through reports and visualizations.
• Collaborate with traders, portfolio managers, and other analysts to leverage data insights for strategic planning.
• Continuously research and evaluate new data sources and methods to enhance forecasting accuracy.

Skills

Python

R

SQL

Machine learning

Data visualization

Statistical modeling

Education

Master's or PhD in Data Science/Statistics/Economics

Tools

Pandas

Scikit-learn

TensorFlow

Job description

About the Role

Our client is seeking a highly analytical and data-driven Energy Market Analyst to join their fully remote strategy team. This role is critical for uncovering complex trends and patterns within the global energy markets , utilizing advanced data science techniques. You will be responsible for developing sophisticated predictive models, analyzing large datasets, and translating intricate findings into actionable insights that inform critical business and trading decisions. This position offers a unique opportunity to work remotely, contributing your expertise to shaping the future of energy market strategy.

Key Responsibilities

• Develop and implement advanced statistical and machine learning models to forecast energy prices and market movements.
• Analyze large, diverse datasets from various sources (market data, weather, economic indicators, regulatory news) to identify correlations and drivers.
• Design and conduct deep-dive analyses into specific energy market segments and emerging trends.
• Communicate complex analytical findings clearly and concisely to both technical and non-technical stakeholders through reports and visualizations.
• Collaborate with traders, portfolio managers, and other analysts to leverage data insights for strategic planning.
• Continuously research and evaluate new data sources and analytical methodologies to enhance forecasting accuracy.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Economics, or a related quantitative field.
• Proven experience (5+ years) in data analysis and modeling, with a strong focus on energy markets or financial modeling.
• Expert proficiency in programming languages such as Python or R, including relevant libraries for data manipulation, statistics, and machine learning (e.g., Pandas, Scikit-learn, TensorFlow).
• Experience with database querying (SQL) and data visualization tools (e.g., Tableau, Power BI).
• Deep understanding of energy commodity markets (e.g., natural gas, power, renewables).
• Exceptional problem-solving abilities and a passion for uncovering insights from data in a remote work environment.

Benefits

• Competitive salary and performance-based bonus structure.
• Fully remote work arrangement with flexible hours.
• Comprehensive health, dental, and vision insurance.
• Generous allowance for home office equipment and professional development courses.
• Significant opportunities for growth and impact within a forward-thinking energy analytics firm.