Data Analyst, Fleet Management
San Francisco, CA
Fleet /
Full-Time /
Hybrid
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.
Position Overview
The Data Analyst, Fleet Management role will be responsible for ensuring the overall device health of Gridware’s deployed fleet. The role will specifically focus on core capability development for device health classification, diagnostics, health warnings, and respective remediations. The ideal candidate will bring a strong technical foundation in data analysis, a passion for the clean tech industry, and a drive to develop tools and processes that support a rapidly growing network of remote IoT devices.
Responsibilities
- Develop and refine scripts to monitor, analyze, and predict fleet health, enabling 99% uptime and scalable fleet operations.
- Lead over-the-air (OTA) firmware and configuration updates, including rollout strategies, validation, and rollback procedures.
- Analyze historical device health and environmental data to forecast failures and recommend preventative actions.
- Assess proposed fleet changes to balance device stability with detection performance and operational scalability.
- Serve as the technical expert for deployed hardware, driving product improvements and resolving field issues in collaboration with engineering, operations, and customer success.
- Track and communicate hardware failure trends from new installs to inform engineering and cross-functional stakeholders.
Requirements
- Bachelor's degree in computer science or any related field
- 2+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
- Experience scripting in Python, SQL
- Previous experience building software and automation logic for rapidly scaling physical and/or virtual systems
- Strong analytical and communication abilities to translate extremely technical & complex topics to non-technical cross-functional stakeholders.
- Ability to work both independently and collaboratively in a fast-paced environment, managing multiple priorities with a positive attitude.
- A passion for sustainability and a keen interest in the energy industry is a strong advantage.
Preferred Skills
- Experience scaling systems & processes from tens of thousands to hundreds of thousands of devices.
- Familiarity with tools such as Databricks, and proficiency in SQL, PySpark, Python, Pandas, etc.
- Experience building scripts to automate analysis for a fleet of hardware
- Exposure to power-constrained or solar-powered devices, communication constrained devices, and/or interfacing with a fleet of connected hardware devices.
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
