Data Analyst - Energy Market Insights

Our client is seeking a detail-oriented Data Analyst to join their team, providing critical insights into the energy market from their offices in Stellenbosch . This role involves collecting, processing, and analyzing large datasets to identify trends, forecast market dynamics, and support strategic decision-making. You will work closely with commercial teams, traders, and strategists to translate complex data into actionable intelligence.

This is an excellent opportunity for an analytical individual to make a significant impact in a fast-paced industry, utilizing advanced data techniques to drive business success in a flexible, hybrid work setting.

• Collect, clean, and transform large datasets from various sources related to energy production, consumption, and pricing.
• Perform in-depth data analysis to identify patterns, trends, and anomalies in the energy market.
• Develop and maintain dashboards and reports using BI tools (e.g., Tableau, Power BI) to visualize key metrics and insights.
• Build predictive models to forecast energy demand, supply, and price fluctuations.
• Collaborate with stakeholders to understand their data needs and deliver clear, concise, and actionable findings.
• Ensure data accuracy, integrity, and consistency across all analytical outputs.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Proven experience as a Data Analyst or in a similar analytical role, preferably within the energy sector .
• Strong proficiency in data manipulation and analysis tools such as SQL, Python (Pandas, Num Py), or R.
• Experience with business intelligence and data visualization tools (e.g., Tableau, Power BI).
• Excellent analytical, problem-solving, and communication skills.
• Ability to interpret complex data and present findings effectively to both technical and non-technical audiences.

• Competitive salary and potential for performance-based bonuses.
• Comprehensive health and wellness benefits.
• Opportunities for ongoing training in advanced analytics and data science techniques.
• Hybrid work arrangement supporting work-life balance.
• Engaging work environment focused on data-driven decision-making within the dynamic energy market .
• Retirement savings plan.