Data Analyst, Fleet Management

Gridware

San Francisco, CA, United States

Posted on: 2025-08-06

Category: energy

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Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

About the company:

Gridware exists to enhance and protect the mother of all networks: the electrical grid. The grid touches everyone and makes our modern economy possible. But it’s also fragile. When the grid is compromised, everything grinds to a halt, and the consequences can be dire: wildfires burn, land is destroyed, property is damaged, progress stops, and lives are lost.

Our team builds smart sensors that help utility companies to immediately detect, find, and fix outages and take steps to prevent new outages, and other related disasters, from happening at all. The need for power will only increase. We protect the grid of today while we build the grid of tomorrow.

Gridware is privately held and backed by the best climate-tech and Silicon Valley investors. We are headquartered in the Bay Area in northern California.

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.

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

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.

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