Customer Data Analyst

About the role

Gridsight is a rapidly growing GridTech startup dedicated to accelerating global electrification and decarbonization. The role exists because we're growing faster than our current implementation process, and we need someone who can both roll up their sleeves to deliver today and help us build the tooling and process that makes tomorrow faster.

Key Responsibilities

• Analytics & Visualization (~55%): 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.
• Customer Delivery Support (~25%): Work alongside Power Engineers, who provide subject matter expertise and lead technical delivery, 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.
• Product Support (~20%): 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.

Qualifications

• 2+ years of professional experience in data analytics, analytics engineering, data engineering, technical consulting, or a similar role combining hands-on data work with stakeholder engagement.
• Strong SQL skills and demonstrated ability to analyse, 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 both technical and non-technical audiences.
• Experience with cloud data infrastructure and modern development practices (Git, command-line environments, collaborative codebases).
• Exposure to dbt or similar ELT/ETL frameworks.
• Strong problem-solving skills and a methodical approach to troubleshooting technical issues.
• Proven problem-solving abilities and a self-starter mentality, comfortable working in a fast-paced startup environment.