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GridsightPosted 3 weeks ago

Technical Business Analyst

RemoteSydney, New South Wales, Australia or Adelaide, South Australia, Australia

Full TimeStartup

Job Summary

Manage customer data integration by explaining technical requirements, reviewing incoming datasets against schemas, and providing feedback on quality issues. Onboard data into the platform using internal tooling while identifying automation opportunities to streamline manual steps and improve validation workflows. Drive deliveries to completion by following up on blockers, unblocking stakeholders, and maintaining momentum through complex implementations involving shifting priorities and incomplete data. This role balances roughly half customer-facing conversations with half technical data wrangling and system configuration. You will work directly with utility customers across Australia and the US to ensure seamless platform adoption.

Required Qualifications

  • 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

Desired Qualifications

  • 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

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