Smart Grid Data Analyst

3 weeks ago


Houston, United States Jobvous Staffing Solutions, LLC Full time
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 ScikitLearn TensorFlow or PyTorch.
    • Strong understanding of timeseries 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 problemsolving skills for complex data sets.


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