Smart Grid Data Analyst

Collect, clean, and analyze data from smart grid sources, including sensors, meters, and IoT devices.
Develop and implement data models to predict energy demand, optimize load distribution, and support grid stability.
Conduct analysis on power quality, outage events, and energy distribution to improve operational efficiency.
Work with engineers and other analysts to integrate data analytics into smart grid planning and infrastructure development.
Use statistical methods, machine learning, and data visualization tools to uncover patterns and trends that enhance grid performance.
Prepare reports and presentations with findings, insights, and recommendations for stakeholders, including grid operators and energy managers.
Ensure data integrity, quality, and compliance with industry standards and regulatory requirements.

Education: Bachelors degree in Data Science, Computer Science, Electrical Engineering, or a related field (Masters preferred).
Experience: 2+ years of experience in data analysis or analytics within energy, utilities, or a related industry.
Technical Skills:
- Proficiency in Python, R, or SQL for data analysis.
- Experience with data visualization tools (e.g., Tableau, Power BI) to present findings effectively.
- Familiarity with machine learning frameworks such as Scikit-Learn, TensorFlow, or PyTorch.
- Strong understanding of time-series analysis, anomaly detection, and predictive analytics.
- Knowledge of data management platforms and cloud environments (e.g., AWS, Azure).
Domain Knowledge: Understanding of smart grid technologies, grid operations, and energy distribution systems.

Experience with IoT data from grid sensors and smart meters.
Knowledge of energy policy, sustainability practices, and regulatory compliance in the utilities sector.
Familiarity with SCADA systems and grid management software.
Strong analytical and problem-solving skills for complex data sets.