Work
How I work
I'm a Corporate Services Analyst working in the construction industry in Australia. My work sits where analytics, accounting, and operations meet — using data and systems to help a business run more smoothly. This page is about how I work rather than where.
Areas of responsibility
Business systems
Working with the systems behind day-to-day operations and keeping them reliable.
Reporting
Producing reporting that supports clear, confident decisions.
Process improvement
Finding the repetitive or error-prone steps and making them simpler.
Automation
Removing manual handling where a small automation does the job better.
Business systems & process improvement
A lot of my work is understanding how a process really works, then improving it — making the systems behind operations more reliable and less manual. Often the most useful change is a small one that removes a repeated step or a recurring source of error.
The construction industry is practical and deadline-driven, and corporate services has to keep pace with it. That context keeps the work grounded in real operational needs rather than theory.
The goal with reporting is clarity: the right numbers, in a form that's easy to read and trust. Good analytics should make a decision easier, not add more noise.
Analytics & reporting
I help turn operational and financial data into reporting that people can actually use. My background in business analytics is the lens for this — reading data well, and presenting it so the story is obvious.
Current learning
I'm developing my Python, SQL, JavaScript, and CSS through practical work and personal projects. I'm learning as I build, and I'd rather be honest about that than pretend to be more senior than I am.
Industries & topics of interest
- Business analytics
- Process improvement
- Automation
- Accounting & commercial systems
- Construction & corporate services
- Reporting
- AI
- Web application development
How I approach problems
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Understand it first
I map how a process actually works before changing anything. Most of the value is in understanding it properly.
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Simplify, then automate
A messy process automated is just a faster mess. I simplify first, then automate what remains.
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Build in checks
I add simple validation so a workflow flags obvious problems instead of passing them through silently.
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Keep it maintainable
I favour solutions that someone else (or future me) can still understand and trust later.
I keep this page general and don't share confidential or internal detail about any employer's systems or data.