Data Analyst, Fleet Change Management at Gridware

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

120000.0

Posted On

19 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Regression Analysis, Statistical Evaluation, Performance Monitoring, Change Management, SQL, Python, Analytical Tools

Industry

Software Development

Description

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. \n 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 Bachelor’s degree in Computer Science, Data Science, Statistics, or related field 3+ years in a data-focused role (Data Analyst, Data Scientist, or Data Engineer) Strong background in data analysis, including regression analysis, statistical evaluation, and performance monitoring. Familiarity with change management practices, including impact assessment, documentation, and communication workflows. Proficiency in SQL, Python, dashboards, or similar analytical tools to support data-driven decision-making. Bonus Skills Applied regression, A/B testing, and causal inference in real-world systems Experience automating data workflows or supporting large-scale distributed systems Knowledge of matched-pairs experimentation and predictive modeling techniques Excited about sustainability, clean tech, or energy analytics initiatives \n $100,000 - $120,000 a year \n 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

The Data Analyst will manage fleet change management, ensuring device performance while minimizing regressions. They will develop models to identify issues and lead firmware update strategies.