Work with utility customers to define, validate and onboard data into Gridsight's analytics platform. Review schemas and quality, wrangle datasets (SQL), configure tooling, drive deliveries, and improve/automate onboarding processes while managing stakeholder expectations.
Electricity grids are undergoing the most significant transformation in a century. The shift to renewables, the proliferation of rooftop solar, batteries, and EVs, and the increasing complexity of distribution networks are forcing utilities to operate their grids in fundamentally new ways.
Gridsight builds the analytics platform that makes this possible. We're already embedded with most of Australia's major distribution networks and have contracts with some of the largest investor-owned utilities in the United States. We're well-funded, growing quickly, and positioned at the centre of a global shift toward dynamic grid management.
Locations: Sydney, Melbourne, Canberra, Brisbane, Adelaide, Hobart, Australia Remote
The RoleOur Technical Business Analysts own data integration with our customers, ensuring they get value from Gridsight's platform quickly and seamlessly.
This is equal parts customer-facing and technical. You'll work directly with utility customers to help them understand what data we need, review what they send, give feedback on issues, and get it into the platform. You'll spend roughly half your time in conversations with customers and half heads-down wrangling data, and configuring the system.
What You'll Do- Work directly with utility customers to help them understand what data Gridsight requires, in what format, and how to provide it
- Review incoming customer data against expected schemas and quality standards, providing clear and constructive feedback on issues
- Onboard customer data into the platform using our tooling and workflows
- Identify and act on opportunities to improve our internal tooling, automating manual steps, improving validation, and making the data onboarding process more efficient, high quality and repeatable
- Drive customer data deliveries to completion — following up, unblocking, and maintaining momentum through the implementation process
- Manage complex customer situations with composure: unrealistic timelines, incomplete data, shifting priorities, and competing demands
- Identify and act on opportunities to automate manual steps, improve tooling, and make the data onboarding process more efficient and repeatable
- Strong communication skills — you can explain technical data requirements to non-technical people, give constructive feedback, and manage expectations with confidence
- Proactive and self-directed — you see what needs doing and drive it to completion without close supervision
- Experience using SQL to analyse, validate, and wrangle messy datasets
- Experience in customer-facing or consulting-style technical roles with external stakeholder management
- Comfort with ambiguity — customer data environments are inconsistent and varied, and there won't always be a playbook
- Ability to manage your own time and priorities across multiple concurrent customer engagements
- 3+ years of professional experience in technical business analyst roles, data engineering, data analysis, technical consulting, or a similar role involving both technical and stakeholder-facing work
- A track record of improving processes — automating manual work, building internal tools, or introducing better ways of working
- Experience with dbt or similar ELT frameworks, and exposure to working within data pipelines
- Expertise in leveraging AI-assisted development tooling
- Experience in energy, utilities, or infrastructure domains
- Competitive salary and equity package
- Remote-first, with head office in Sydney
- A talented team working on hard problems that matter
- A unique culture built around dialogue
Gridsight Sydney, New South Wales, AUS Office
Sydney, New South Wales, Australia
Similar Jobs
Artificial Intelligence • Machine Learning • Software
Develop, deploy, and improve distributed big-data pipelines for data ingestion, fusion, machine learning, and network analysis. Lead end-to-end data engineering solutions, improve scalability and reliability, support security and compliance reviews, and serve as a technical expert in customer engagements. Collaborate with engineering, data science, product, and public-sector stakeholders while evaluating tools and mentoring teams.
Top Skills:
AWSAzureDatabricksDatadogDockerGitKubernetesOpensearchPostgresPythonSQLTerraform
Artificial Intelligence • Machine Learning • Software
Leads and grows an AI Deployment Engineering team responsible for delivering agentic AI implementations, customer adoption, and measurable business outcomes. Owns portfolio roadmaps, staffing, delivery standards, technical quality, customer relationships, and cross-functional coordination. Establishes reliable, safe, auditable deployment practices and remains technically hands-on with agent architecture, evaluations, integrations, and production troubleshooting.
Top Skills:
AWSAzureClaude CodeDatabricksDockerElasticsearchFunction CallingGitKubernetesLangchainLlm AgentsMcpPostgresPythonRedshiftRest ApisRetrieval-Augmented GenerationSparkSQLSwagger/OpenapiTool Calling
Artificial Intelligence • Machine Learning • Software
Designs and deploys agentic AI workflows and integrations for enterprise customers. Leads implementations from scoping through adoption, builds APIs and automations, configures data connections and guardrails, evaluates agent performance, and manages human-in-the-loop processes. Acts as the primary technical customer contact while coordinating engineering, data science, product, and customer success teams. Owns implementation roadmaps, requirements, acceptance criteria, documentation, and measurable delivery outcomes.
Top Skills:
Agent Orchestration FrameworksAWSAzureClaude CodeDatabricksDockerElasticsearchFunction CallingGitKubernetesLangchainLlm AgentsMcpPostgresPythonRedshiftRest ApisRetrieval-Augmented GenerationSparkSQLSwagger/OpenapiTool Calling
What you need to know about the Sydney Tech Scene
From opera to comedy shows, the Sydney Opera House hosts more than 1,600 performances a year, yet its entertainment sector isn't the only one taking center stage. The city's tech sector has earned a reputation as one of the fastest-growing in the region. More specifically, its IT sector stands out as the country's third-largest, growing at twice the rate of overall employment in the past decade as businesses continue to digitize their operations to stay competitive.
