Global Customer Data Analyst
Customer Data Analyst building dashboards and bespoke analyses for utility grid customers using SQL, Python, Databricks, dbt, and AWS in a startup environment.
- Compensation
- Not disclosed
- Location
- Melbourne, Australia
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data analytics
- Posted
Skills
Must have
- 2+ years in data analytics, analytics engineering, data engineering, technical consulting, or similar
- Strong SQL skills for analysing, validating, and wrangling complex datasets
- Experience building dashboards and data visualizations
- Proficiency in Python for data analysis, transformation, and scripting
- Ability to communicate data-driven findings to technical and non-technical audiences
- Experience with cloud data infrastructure and modern dev practices (Git, CLI, collaborative codebases)
- Exposure to dbt or similar ELT/ETL frameworks
- Strong problem-solving skills and methodical troubleshooting approach
- Self-starter mentality comfortable in a fast-paced startup environment
Full description
The Role
As a Customer Data Analyst, you'll turn our utility customers' data into actionable insights. You'll build dashboards and visualisations that help customers see and understand their grid and deliver bespoke analysis that answers questions they can't yet answer themselves.
You'll work alongside our Power Engineers, who bring deep subject matter expertise and lead technical delivery with customers. You'll partner with our Customer Data Engineers to make sure the data you need is available, well-structured, and reliable. And you'll work with Product to translate recurring analyses into platform features when we see enough demand across the market.
Gridsight runs an AI-forward stack that gives the team access to best-in-class tooling across data infrastructure, orchestration, and AI-assisted development, including Databricks, dbt, Dagster, AWS, and enterprise Claude Code. Staying ahead of the curve is part of the job.
This is a great role for someone who loves working with data, enjoys being close to customers, and wants to see their analysis evolve from a one-off deliverable into a product used across the industry.
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.