Remote Energy Data Analyst

Our client, a forward-thinking energy solutions provider, is looking for a talented and detail-oriented Remote Energy Data Analyst to join their globally distributed team. This is a fully remote position, offering flexibility and the opportunity to work from anywhere within South Africa
. You will play a crucial role in analyzing vast datasets related to energy consumption, generation, and market trends to provide actionable insights that drive strategic decisions. The ideal candidate thrives on uncovering patterns, building predictive models, and communicating complex findings clearly to various stakeholders. This role is essential for optimizing our client's services and contributing to the advancement of smart energy management solutions, all from the comfort of your home office.

• Collect, clean, and process large volumes of energy-related data from diverse sources.
• Develop and maintain robust data models and analytical frameworks.
• Perform statistical analysis, trend identification, and forecasting for energy markets.
• Create insightful visualizations and reports using BI tools (e.g., Tableau, Power BI).
• Identify opportunities for cost savings, efficiency improvements, and new revenue streams through data analysis.
• Collaborate remotely with business units, engineering teams, and management to understand data needs and deliver relevant insights.
• Develop and implement data quality checks and ensure data integrity.
• Automate reporting processes where possible to improve efficiency.
• Stay current with data analysis techniques and energy industry trends.
• Present findings and recommendations to non-technical audiences effectively.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Proven experience (3+ years) as a Data Analyst, preferably with a focus on the energy sector.
• Strong proficiency in SQL for data extraction and manipulation.
• Expertise in data analysis and statistical programming languages such as Python or R.
• Experience with data visualization tools (Tableau, Power BI, Qlik View).
• Excellent understanding of statistical modeling and machine learning concepts.
• Ability to work independently and manage time effectively in a remote setting.
• Strong problem-solving and analytical skills.
• Excellent written and verbal communication skills for remote collaboration.
• Familiarity with energy markets, consumption patterns, or renewable energy data is a significant advantage.

• Fully remote work arrangement, offering significant work-life balance.
• Competitive salary package commensurate with experience.
• Opportunity to work on innovative energy data projects.
• Professional development and continuous learning opportunities.
  
  Access to cutting-edge analytical tools and technologies.
• Flexible working hours.