Smart Grid Data Analyst

Responsibilities

• 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.

Required Qualifications

• 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.

Preferred Skills

• 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.

Working Place:

Houston TX