Technical Business Analyst
brighte
| Company | brighte |
| Category | Consulting & Strategy |
| Location | Sydney |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 3 Jul 2026 |
| Last verified | 31 Jul 2026 |
| Source | Employer career page (lever) |
Description
About Brighte Our mission is to make consumer energy resources (CER) affordable and accessible for everyone.
Brighte is building the platform to enable and accelerate the energy transition by making it affordable, easy and less risky to buy and sell energy equipment.
Our founder and CEO, Katherine McConnell, has been awarded Telstra Businesswoman of the year in 2020 as well as winning the Sustainability Crusader award at B&T's 2023 Women Leading Tech Awards. She is a passionate and humble leader who has a human first approach to business.
As a business in 2025, we have been named a AFR Sustainability Leader within the Banking and Finance category and won the inaugural Sustainability Award at the Affies in 2024!
About the Role
This role sits at the heart of Brighte's operations and infrastructure transformation, identifying where technology unlocks the most value, building the case for change, and leading implementation end-to-end across Data, Operations, Technology, and Engineering.
Reporting to the Head of Business Operations and partnering closely with our Staff Engineer, Data Architect, and Systems/IT Ops lead, you'll go from mapping a broken process and designing the fix, to ensuring new tools land properly in our systems, using AI tools hands-on to analyse data, accelerate delivery, and sharpen your thinking along the way.
What You’ll Do
Build a deep understanding of Brighte's business, processes, and data landscape to identify, prioritise, and roadmap AI and automation opportunities based on commercial impact and feasibility
Build business cases connecting technology solutions to measurable outcomes, including cost-benefit and risk analysis
Redesign broken or inefficient workflows, translating business requirements into clear technical specifications
Collaborate with architects and developers to design scalable, secure systems — including data flows, integrations, and API specifications
Build for scale: documented, repeatable processes that transfer across teams, with continuous optimisation post-launch
Partner with functional leaders and facilitate workshops to align initiatives with Brighte's strategic roadmap, acting as key liaison in Agile delivery
Be the connective tissue between infrastructure, data, and systems architecture — maintaining strong governance across data quality, performance, and testing
What You’ll Bring
~3+ years' proven experience in a Technical Business Analyst or Systems Analyst role, specifically involving data, analytics, or AI projects.
Real depth in AI. You understand how large language models, machine learning, and automation tools actually work, not just how to use them in combination with hands-on experience with enterprise AI and automation platforms - Claude, ChatGPT, Microsoft Copilot, or equivalent
Proven track record identifying operational problems, assessing their commercial value, and leading solutions through to delivery and sharp commercial instincts - you can size an opportunity, build a business case, and make a clear recommendation
Comfortable operating in Agile delivery environments and working with standard project tools like Jira and Confluence.
Strong experience with data analysis using tools such as SQL, Python, Power BI, or Tableau
Knowledge of data governance, security, and responsible AI principles
Comfortable in a fast-paced, scaling environment where priorities shift and initiative is rewarded
A degree in Computer Science, Information Systems, Business, or a related field; postgraduate qualifications a bonus
Our hiring process
We use AI every day at Brighte, and we hire people who do too. Every role includes a short assessment that shows us how you put AI to work, use whatever tool you're most comfortable with, there's no trick to it.
Background and reference checks (police, AML, bankruptcy) come towards the end. We use AI in parts of our recr
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