
Global Customer Data Analyst
GRIDSIGHT
Global Customer Data Analyst
Gridsight, a rapidly growing GridTech startup, is seeking a Global Customer Data Analyst to turn utility customer data into actionable insights. The role involves building dashboards, delivering bespoke analysis, and supporting customer engagements, working closely with Power Engineers and Customer Data Engineers. Requires 2+ years of experience, strong SQL and Python skills, and experience with cloud data infrastructure.
Global Customer Data Analyst
Gridsight, a rapidly growing GridTech startup, is seeking a Global Customer Data Analyst to turn utility customer data into actionable insights. The role involves building dashboards, delivering bespoke analysis, and supporting customer engagements, working closely with Power Engineers and Customer Data Engineers. Requires 2+ years of experience, strong SQL and Python skills, and experience with cloud data infrastructure.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Key Responsibilities
- Build dashboards and visualizations for customers, making complex grid data clear and actionable.
- Translate customer business questions into analytical tasks, and communicate findings clearly to both technical and non-technical audiences.
- Deliver ad hoc and bespoke analysis to answer questions and surface insights that aren't yet available through the product.
- Validate outputs against quality standards to ensure analysis is accurate and trustworthy.
- Work alongside Power Engineers to support end-to-end customer engagements.
- Partner with Customer Data Engineers to ensure the data required for analytics is available, correctly mapped, and fit for purpose.
- Debug data and analysis issues with composure — triaging problems, communicating clearly with customers, and driving resolution.
- Identify and communicate patterns across customer engagements to inform product direction.
- Partner with Product to translate bespoke analyses into repeatable, platform-ready features where there's enough demand and signal from customers across the market.
- Contribute to internal documentation, playbooks, and tooling that improve the efficiency and consistency of future analytics and delivery work.
- Bring a tool-first mindset: spot manual steps that can be automated, and take initiative to improve them.