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Gridsight

AI-powered utility grid capacity management

Forward Deployed Data Analyst

Data Analysis +1Confirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A degree in Electrical Engineering, Power Systems, or a related field is strongly preferred but not required; candidates from data, software, or other quantitative backgrounds are also encouraged.
  • 2 to 4+ years of professional experience in data analytics, data engineering, technical consulting, power systems, electrical engineering, or a similar role combining hands-on data work with stakeholder engagement.
  • Working knowledge of distribution grid concepts such as power flow modeling, hosting capacity, distributed energy resource integration, new load/generation interconnection, and demand forecasting, or the ability to learn them quickly.
  • Strong SQL skills and demonstrated ability to analyze, validate, and wrangle complex or messy datasets.
  • Experience building dashboards and data visualizations.
  • Proficiency in Python for data analysis, transformation, and scripting.
  • Ability to communicate data-driven findings clearly to technical and non-technical audiences.
  • Experience with cloud data infrastructure and modern development practices, including Git, command-line environments, and collaborative codebases.
  • Exposure to dbt or similar extract, load, and transform/extract, transform, and load frameworks.
  • A methodical approach to troubleshooting and a self-starter approach suited to a fast-paced startup environment.
  • Willingness to travel to customer sites, including multi-day visits.

Responsibilities

  • Build customer dashboards and visualizations that make complex grid data clear and actionable.
  • Run and support power systems analyses, such as power flow, hosting capacity, and constraint studies, under the direction of a Forward Deployed Power Engineer.
  • Translate customer business questions into analytical tasks, and communicate findings to technical and non-technical audiences.
  • Deliver ad hoc and bespoke analyses to answer questions and surface insights not yet available through the product.
  • Work alongside Forward Deployed Power Engineers and Engagement Managers to support end-to-end customer engagements, including onsite time with utility planning and engineering teams.
  • Partner with Customer Data Engineers to ensure the data required for analytics is available, reliable, and fit for purpose.
  • Identify and communicate patterns across customer engagements to inform product direction.
  • Partner with Product to translate bespoke analyses into repeatable, platform-ready features when customer demand and evidence support them.
  • Learn new power flow and grid modeling tools quickly and use them to deliver customer work more efficiently.
  • Contribute to internal documentation, playbooks, and tooling that improve the efficiency and consistency of future analytics and delivery work.
  • Identify manual steps that can be automated and take initiative to improve them.

Desired Qualifications

  • A degree in Electrical Engineering, Power Systems, or a related field.

About the Company

Gridsight

AI-powered utility grid capacity management

Gridsight is an AI-powered capacity-management platform for electric utilities that converts fragmented network data into a Foundational Grid Model tailored to each utility, so operators can identify where latent capacity exists and connect new load without building new infrastructure. It blends electrical physics with AI agents to support real-time hosting capacity, solar export management, and distribution planning. Unlike generic grid software, Gridsight delivers a utility-specific model that directly informs where and when to add capacity, enabling dynamic control over rooftop solar exports and faster planning. Its customers include Endeavour Energy, Xcel Energy, and United Illuminating. The company aims to expand its US footprint while continuing growth in Australia and other markets, supported by fundraising to accelerate expansion.

Company size
51-200
Company stage
Series B
Total funding
$28.2M
Headquarters
Wollongong City Council, Australia
Founded
2020

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