Energy Data Analyst

Placements24; LegKraal Gate; Hybrid; ZAR 450.000 - 750.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Hybrid work model

Health benefits

Retirement benefits

Training opportunities

Data-driven culture

Zusammenfassung

Placements24 is seeking a meticulous Energy Data Analyst to join its analytics team in Mahikeng. This hybrid role focuses on collecting, cleaning, analyzing, and interpreting large energy datasets to inform operations and strategy.

You will build predictive models, create dashboards, and collaborate with engineering, operations, and business development to translate data into actionable recommendations. A strong background in statistics, ML, and data visualization is essential.

Qualifikationen

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related quantitative field.
• Minimum of 3 years of experience as a Data Analyst, preferably in the energy sector.
• Proficiency in data manipulation and analysis tools such as SQL, Python (Pandas/NumPy), or R.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Strong understanding of statistical methods and machine learning techniques.

Aufgaben

• Collect, process, and manage large volumes of energy data from various sources.
• Develop data cleaning and validation procedures to ensure data accuracy.
• Perform statistical analysis and build predictive models for demand, generation, and price trends.
• Visualize data through dashboards and reports for stakeholders.
• Identify patterns and opportunities for cost savings and efficiency improvements.
• Collaborate with engineering, operations, and business teams to provide data-driven recommendations.

Kenntnisse

Data analysis

Statistical methods

Machine learning

Problem solving

Attention to detail

Ausbildung

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

Tools

SQL

Python (Pandas/NumPy)

R

Tableau

Power BI

Jobbeschreibung

About the Role

Our client is seeking a meticulous Energy Data Analyst to join their analytics team in Mahikeng . This role is pivotal in harnessing the power of data to drive insights into energy consumption, generation, and market performance. You will collect, clean, analyze, and interpret large datasets to identify trends, optimize operations, and support strategic decision-making. This hybrid position allows for focused data analysis and reporting from home, complemented by in-office collaboration and strategic planning sessions, offering a dynamic work environment for data-driven professionals.

Key Responsibilities

• Collect, process, and manage large volumes of energy-related data from various sources, including smart meters, sensors, and market platforms.
• Develop and implement data cleaning and validation procedures to ensure data accuracy and integrity.
• Perform statistical analysis and build predictive models to forecast energy demand, generation, and price trends.
• Visualize data through dashboards and reports to communicate key findings and insights to technical and non-technical stakeholders.
• Identify patterns, anomalies, and opportunities for cost savings, efficiency improvements, and revenue enhancement.
• Collaborate with engineering, operations, and business development teams to provide data-driven recommendations.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum of 3 years of experience as a Data Analyst, preferably within the energy sector.
• Proficiency in data manipulation and analysis tools such as SQL, Python (Pandas, NumPy), or R.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Strong understanding of statistical methods and machine learning techniques.
• Excellent problem-solving skills and attention to detail.

Benefits

• Competitive annual salary and performance-based bonuses.
• Hybrid work model providing flexibility and work-life balance.
• Comprehensive health and retirement benefits.
• Opportunities for advanced training in data analytics and energy systems.
• A data-centric culture that values innovation and analytical rigor.