Data Analyst - Energy Market Insights

Placements24; Stellenbosch; Híbrido; ZAR 350.000 - 520.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work

Health benefits

Bonuses

Training

Retirement plan

Descripción de la vacante

Placements24 in Stellenbosch is seeking a detail-oriented Data Analyst to deliver insights into the energy market. You will collect, clean, and analyze large datasets to identify trends, forecast dynamics, and support strategic decisions, collaborating with traders and strategists to turn data into actionable intelligence.

You will build dashboards in Tableau or Power BI, develop predictive models for demand and price fluctuations, and ensure data integrity across outputs.

Formación

• Bachelor's degree in statistics, mathematics, economics, computer science, or related quantitative field.
• Proven experience as a Data Analyst, preferably within the energy sector.
• Strong SQL and Python or R skills.
• Experience with Tableau or Power BI for dashboards.
• Excellent analytical and communication abilities.

Responsabilidades

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

Conocimientos

SQL

Python (Pandas, NumPy)

R

Data analysis

Educación

Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field

Herramientas

Tableau

Power BI

Descripción del empleo

About the Role

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.

Key Responsibilities

• 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.

Requirements

• 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, NumPy), 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.

Benefits

• 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.