Experience · education · certifications

The experience building toward a BI career.

A Business Analytics degree at Macquarie University, hands-on industry job simulations with Deloitte, Commonwealth Bank and British Airways, real work experience, and a stack of analytics certifications — the foundation behind the projects.

Industry job simulations

Applied analytics with real companies.

Virtual experience programmes (Forage) where I worked through the actual analytics tasks these teams face — from building dashboards to training models.

TableauExcel

Deloitte Australia — Data Analytics

Built a Tableau dashboard from client telemetry data and delivered an Excel pay-equity classification, turning raw operational data into clear management-ready views.

Power BIExcelData pipeline

Commonwealth Bank — Intro to Data Science

Built a data pipeline, anonymised sensitive customer data, and reported insights in Power BI and Excel with attention to privacy and data governance.

PythonNLPClassification

British Airways — Data Science

Web-scraped customer reviews for sentiment analysis and trained a Python classifier to predict booking behaviour, presenting findings back to the business.

Credit analysisFinance

Standard Chartered — Credit Analyst

Worked through a Banking & Coverage credit analyst simulation, assessing creditworthiness and building commercial judgement around financial data.

Work & education

The path so far.

Jul 2024 – Jul 2026

Bachelor of Commerce — Business Analytics (Major), Marketing (Minor)

Macquarie University, Sydney · Member, Macquarie Business Society

Coursework across business analytics, database systems, statistics, forecasting and business decision-making — applied through case studies and group projects on real datasets.

Feb 2025 – Present

Team Member

Coles Supermarkets, Sydney NSW

Manage day-to-day stock replenishment and inventory checks in a fast-paced retail environment, and work directly with supervisors and customers to resolve issues on the spot — staying calm and clear under time pressure during peak trade.

2025 – 2026

End-to-end analytics projects

Academic, competition & self-directed

Five projects spanning Excel, Tableau, Power BI, SQL and Python — a sales performance dashboard, an O&F retail storyboard, co-operative opportunity mapping for Mercury Co-operative, credit card fraud detection and a used-car price model. View case studies →

2026

Open to BI / Data Analyst roles

Sydney, Australia · remote considered

Actively seeking a first professional analytics role where I can apply SQL, Power BI, Tableau and Python to real reporting and decisions.

Certifications

Learning that backs up the toolkit.

Two headline Professional Certificates most relevant to a BI Analyst role — backed by a wider set of courses across databases, SQL and Python.

Most role-relevant Tableau Business Intelligence Analyst Professional Certificate — Coursera / Tableau Learning
Tableau Business Intelligence Analyst — Professional Certificate (8 courses) · Coursera / Tableau Learning, 2026.
Google Data Analytics Professional Certificate — Coursera / Google
Google Data Analytics — Professional Certificate · Coursera / Google.

More certifications & courses

  • Meta Database Engineer Professional Certificate — Coursera / Meta
  • The Business Intelligence Analyst Course 2026 — Udemy
  • SQL for Data Analysis: Advanced Querying Techniques — Udemy
  • Data Analysis with Pandas and Python — Udemy
  • Excel Skills for Business — Macquarie University / Coursera
  • Standard Chartered Credit Analyst (Banking & Coverage) — Forage

Growth beyond the classroom

What experience outside study added.

Communication

Working and studying across diverse environments taught me to explain myself clearly and listen before responding — the difference between analysis that's read and analysis that's used.

Resilience

Balancing study, work and career preparation strengthened my ability to keep improving under pressure and take feedback without losing momentum.

Adaptability

Team projects and real work taught me that plans change; I adjust while staying focused on the outcome that actually matters.

What's next

Where I'm deliberately developing.

01

Sharper insight delivery

Explaining a dashboard in 60–90 seconds using business language, not tool language.

02

Customer analytics evidence

A project focused on segmentation, engagement or campaign effectiveness.

03

Data quality documentation

Recording assumptions, cleaning steps, definitions and limitations for every project.

04

Visible, outcome-led learning

Keeping GitHub and LinkedIn updated with results, not just certificates.

Early career, real momentum.

I'd bring a strong work ethic and a genuine hunger to learn to your team.

Let's talk