Gridware is a technology company focused on 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 mechanical 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 headquartered in San Francisco, California, and is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.
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.
Team Overview
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 efficiently. The team plays a vital role in Gridware’s mission to create a safer, more resilient power grid.
Role Description
The Analyst plays a critical role in real-time grid monitoring by ensuring timely detection, classification, and reporting of anomalies and critical grid events. Early in the role, the Analyst will focus on developing operational intuition by mastering standard operating procedures and understanding device and grid behavior. As they gain experience, they will apply their data analysis skills to identify workflow inefficiencies, evaluate event detection performance, and support the development of automated classification.
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 providers 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
Responsibilities
Monitor real-time data streams from the fleet, investigate grid events, and report critical incidents to customers with speed and accuracyTrain in real-time operations procedures and participate in on-call shiftsDevelop and maintain standard operating procedures (SOPs) to ensure consistent and accurate classification of grid eventsCollaborate closely with Remote Operators and Senior Analysts to ensure operational readinessAnalytics & Process Improvement
Analyze classification accuracy, incident patterns, and workflow performance to identify operational bottlenecksApply time-series analysis and statistical techniques to validate and understand event behaviorPartner with Product and Engineering to propose and validate improvements to detection workflows and automationBuild dashboards and develop metrics that improve operator visibility and decision-makingRequired Skills
2+ years of experience in analytical roles (professional work, internships, or academic research)1+ years of using Python or R for data analysisProficiency in SQL for querying and analyzing large datasetsDegree in Engineering, Physics, Mathematics, Data Science, or related analytical fieldBonus Skills
Experience working in real-time operations and fast-paced environmentsExperience in grid management, energy systems, clean tech, or climate techExperience in time-series analysis, especially applied to sensor dataFamiliarity with real-time monitoring tools (Grafana, Splunk, Kibana)Experience with dashboarding tooling (Tableau, Looker, Power BI)Experience with Databricks and understanding data science workflows, with a focus on exploratory analysis and feature engineering