Remote Senior Data Analyst - Energy Consumption Patterns

Placements24; Vereeniging; Hybrid; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Bonuses

Health benefits

Professional development budget

Remote work flexibility

Strategic impact on business decisions

Job summary

Placements24 is seeking a Senior Data Analyst to join a remote analytics team in the energy sector. You will analyze large datasets to forecast demand and improve operations, building advanced models and communicating insights to stakeholders.

The role emphasizes ML, time series, data visualization, and cross-functional collaboration with data engineers and business units.

Qualifications

• Master's degree or PhD inStatistics, Data Science, Economics, or a quantitative field.
• Minimum 6 years of professional experience as a Data Analyst or similar role, preferably in energy.
• Proficiency in Python or R, and SQL.
• Experience with Tableau/Power BI and big data platforms (Spark/Hadoop).
• Strong knowledge of statistical modeling, ML techniques, and time series analysis.
• Excellent communication and presentation skills.

Responsibilities

• Analyze large, complex datasets related to energy generation, transmission, distribution and consumption.
• Develop and implement statistical models and machine learning algorithms for forecasting and anomaly detection.
• Create compelling data visualizations and reports for stakeholders.
• Identify opportunities for process improvements and cost reduction from data insights.
• Collaborate with data engineers and business units to ensure data quality and accessibility.
• Mentor junior analysts and contribute to best practices in analytics.

Skills

Python

R

SQL

Tableau

Power BI

Time series analysis

Statistical modeling

Machine learning

Data visualization

Communication

Education

Master's degree or PhD in Statistics/DS/Economics

Tools

Spark

Hadoop

Job description

About the Role

Our client, a forward-thinking leader in the energy sector , is seeking a talented Senior Data Analyst to join their analytics team remotely. In this role, you will leverage vast datasets to uncover insights into energy consumption patterns , demand forecasting, and operational efficiency across various markets. You will be instrumental in developing advanced analytical models that drive strategic decision-making and optimize energy distribution and resource management. This fully remote position offers an excellent opportunity to work with cutting-edge data tools and collaborate with a global team from the comfort of your own home office.

Key Responsibilities

• Analyze large, complex datasets related to energy generation, transmission, distribution, and consumption.
• Develop and implement statistical models and machine learning algorithms for demand forecasting and anomaly detection.
• Create compelling data visualizations and reports to communicate findings and recommendations to stakeholders.
• Identify opportunities for process improvement and cost reduction based on data analysis.
• Collaborate with data engineers and business units to ensure data quality and accessibility.
• Mentor junior analysts and contribute to the development of best practices in data analytics.

Requirements

• Master's degree or PhD in Statistics, Data Science, Economics, or a quantitative field.
• Minimum of 6 years of professional experience as a Data Analyst or similar role, preferably in the energy industry .
• Proficiency in programming languages such as Python or R, and SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI) and big data platforms (e.g., Spark, Hadoop).
• Strong understanding of statistical modeling, machine learning techniques, and time series analysis .
• Excellent communication and presentation skills for explaining complex findings to non-technical audiences.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health and wellness benefits package.
• Generous allowance for professional development and training.
• Fully remote work arrangement providing significant flexibility.
• Opportunity to influence strategic decisions in the dynamic energy market .