Data Analyst, Fleet Change Management

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 Change Management will play a critical role in continuous device and circuit level optimization to keep the overall fleet healthy, efficient, and scalable. You’ll apply change-management principles and conduct regression analysis to understand how devices behave in the field, forecast performance, and guide decisions around firmware updates, configuration changes, and fleet-wide behaviors. This is a highly cross‑functional role that blends technical analysis with operational execution.

Responsibilities

• Serve as the single threaded owner of all fleet change management, balancing the cross‑functional device performance and capability requirements while minimizing regressions in device health
• Develop and refine regression and diagnostic models to identify drivers of device degradation, connectivity issues, and environmental dependencies.
• Create repeatable change‑management frameworks to measure, validate, and control updates across thousands of IoT devices.
• Lead over‑the‑air (OTA) firmware and configuration update strategies — including impact forecasting, validation, and rollback modeling.
• Partner with engineering and operations to evaluate proposed hardware or firmware changes through controlled experiments and regression‑based impact analysis.
• Track and communicate key fleet‑health metrics, surfacing insights that inform product improvements and operational decision‑making.
• Act as the technical point‑of‑contact for field performance, driving data‑backed recommendations that keep uptime near 99%.

Required Skills

Bonus Skills

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

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