Financial Analysis Training Programs

Build practical skills in financial software and analytical methods through hands-on training designed for Australian finance professionals.

Our programs start in July 2026, giving you time to prepare and plan your professional development. We focus on real-world applications rather than theory—you'll work with actual financial datasets, navigate industry-standard tools, and solve problems you'll encounter in daily work.

Most participants are already working in finance and want to expand their technical capabilities. Some are transitioning from related fields. Either way, the approach is the same: clear instruction, plenty of practice, and support when you need it.

Who You'll Learn From

Our instructors have spent years working with financial analysis software in corporate and consulting environments across Australia.

Callum Fitzroy, Senior Financial Systems Analyst

Callum Fitzroy

Senior Financial Systems Analyst

Spent twelve years implementing financial reporting systems for mid-sized companies in Melbourne. Knows the quirks of every major software platform and teaches practical workarounds you won't find in manuals.

Freya Lund, Financial Data Specialist

Freya Lund

Financial Data Specialist

Background in treasury management and risk analysis at regional banks. Focuses on teaching data visualization and forecasting techniques that actually get used in decision-making meetings.

Saoirse Brennan, Corporate Finance Consultant

Saoirse Brennan

Corporate Finance Consultant

Works with businesses transitioning to new financial software platforms. Her sessions cover integration challenges, data migration, and managing the human side of technology adoption.

Financial analysis training session with real datasets

What the Program Covers

We've structured the curriculum around the tools and techniques you'll actually use. No filler content—just the capabilities that matter in Australian finance roles.

  • Financial modeling with dynamic scenario analysis
  • Advanced reporting automation and dashboard creation
  • Data integration from multiple accounting systems
  • Variance analysis and budget forecasting methods
  • Regulatory compliance reporting for Australian standards
  • Risk assessment and sensitivity testing frameworks

Sessions run weekly over six months, with recorded sessions available if you miss one. You'll complete four practical projects using realistic financial data from various industries.

Discuss Your Learning Goals

Program Structure and Timeline

The six-month program follows a logical progression, building skills in layers so each concept supports the next.

Months 1–2: Software Fundamentals

Get comfortable with the interface and core functions. You'll work through basic reporting, data imports, and standard calculations. By the end of month two, you should be able to navigate confidently and produce accurate financial statements.

Months 3–4: Advanced Analysis Techniques

Build more complex models and learn automation methods. This phase covers forecasting, multi-dimensional analysis, and custom reporting. You'll start your first major project—creating a comprehensive financial dashboard for a simulated business.

Months 5–6: Integration and Application

Focus shifts to real-world challenges: connecting different data sources, handling incomplete information, and presenting findings to non-financial stakeholders. Your final project involves end-to-end analysis from raw data to executive summary.

What Past Participants Say

These are from people who completed our 2024 cohort and have been applying what they learned in their daily work.

I was already using financial software at work, but mostly just scratching the surface. The training showed me functions I didn't know existed, and now my monthly reporting takes half the time it used to. Worth it just for that, but the forecasting techniques have been even more valuable.

Henrik Vestergaard

Financial Controller, Brisbane

What I appreciated most was the focus on practical problems rather than textbook scenarios. The instructors had clearly dealt with messy data and tight deadlines themselves. They taught shortcuts and quality checks that actually work when you're under pressure.

Tamsin Aldridge

Senior Analyst, Sydney