Michelle C.

Business Analyst, Sales Analyst, Data Administrator, Power BI, Tableau, SQL, Python, R, Machine Learning, Process Improvement, Stakeholder Communication

Caulfield East, Victoria, Australia

About

Experience

  • Data Analyst (Project_based Contract) at ASE TECHNOLOGY
    Aug 2025 - Jan 2026 · 6 mos

    • Cleaned and structured sales, inventory and order-fulfilment data using Excel and Python to identify demand trends and stock-movement patterns. • Built interactive dashboards in Tableau to visualize performance, delivery timelines and operational KPIs for management and warehouse teams. • Analysed historical order volume and stock consumption to support demand forecasting and replenish planning. • Streamlined reporting workflows by automating repetitive data-processing steps, improving accuracy and reducing manual effort. • Investigated fulfilment delays by analysing order lifecycle data, contributing to quicker issue resolution across sales and warehouse teams. • Supported digital process improvements by documenting workflows, defining reporting requirements and assisting in system enhancement activities.

  • Administrative Officer at SN Energy Group
    Feb 2025 - Jul 2025 · 6 mos

    • Provided administrative and documentation support for renewable energy project development. • Assisted in preparing feasibility reports, investment proposals, and project registration documents. • Coordinated internal communication between engineering, legal, and finance teams to align project progress. • Supported meeting scheduling and bilingual correspondence for cross-border project communication.

  • Sales Marketing Manager at Self-employed
    Jan 2019 - May 2023 · 4 yrs 5 mos

    • Built a customer data tracking framework to monitor acquisition, retention and conversion metrics across private-domain channels. • Analysed transaction and behavioural datasets to optimise product mix and marketing ROI. • Designed lightweight CRM data segmentation models to personalise communication strategies and improve repeat purchase rates. • Managed operational data flows across sourcing, inventory and sales tracking processes.