Data Analyst optimizing IoT fleet performance and enhancing device management at Gridware. Collaborating cross-functionally to forecast performance and guide operational decisions.
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%.
Requirements
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.
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.
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