Analyst, Operations
Listed on 2026-03-01
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IT/Tech
Data Engineer, Electrical Engineering, Data Analyst
About Gridware
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation.
This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.
Gridware.io.
Gridware’s Real-Time Operations team is the first line of defense in monitoring the power grid for critical events. The team operates 24/7 to ensure the reliability of our expanding fleet of monitoring devices, rapidly detecting and classifying anomalies, and reporting critical events to customers. By leveraging analytics we continuously refine workflows, optimize decision‑making, and enhance operational efficiency to scale effectively. The team plays a vital role in Gridware’s mission to create a safer, more resilient power grid.
Responsibilities- Monitor real‑time data streams from the fleet, investigate potential grid events, and report critical incidents to customers in a timely manner.
- Train in real‑time operations procedures and participate in the on‑call rotation.
- Develop and maintain standard operating procedures (SOPs) to ensure consistent and accurate classification of grid events.
- Coordinate with Remote Operators to develop training documentation and help train incoming Analysts.
- Develop statistical analysis techniques and automated tooling to improve incident detection, classification, and response efficiency.
- Define and track KPIs to measure team performance, operational efficiency, and event resolution accuracy.
- Identify operational bottlenecks and work with Product and Engineering teams to develop scalable, automated solutions.
- 2+ years of experience in data analysis (academic research, internships, or professional work).
- 1+ years of using Python or R for data analysis.
- Proficiency in SQL for querying and analyzing large datasets.
- Degree in Engineering, Physics, Mathematics, Data Science, or related analytical field.
- Experience working in a fast‑paced, real‑time decision‑making environment.
- Experience in grid management, energy systems, clean tech, or climate technology.
- Experience in applying time‑series analysis techniques to sensor data.
- Familiarity with real‑time monitoring tools such as Grafana, Splunk, or similar.
- Experience developing dashboards using Tableau, Looker, Power BI, or similar.
- Understanding of data science workflows, including exploratory analysis, model development, validation, and operationalization in production environments.
$100,000 - $115,000 a year
This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!
Benefits- Health, Dental & Vision (Gold and Platinum with some provider plans fully covered).
- Paid parental leave.
- Alternating day off (every other Monday).
- “Off the Grid”, a two week per year paid break for all employees.
- Commuter allowance.
- Company‑paid training.
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