Fan

I am confident that my leadership skills, professional achievements, work ethics, and working experience match with this role. The professional achievements and leadership capabilities can be evidenced by earning qualifications (i.e. FCCA and CICPA) and gaining distinctive working experience at the University of Canterbury, Deutsche Telekom, and IKEA. My application for becoming a full member of CAANZ is in the process of assessment. I have extensive experience in the fields of managerial accounting, business intelligence, financial models, and financial statements in the context of small to medium-sized enterprises and multinational organisations.

Availability: I am skillful at applying business intelligence tools to analyse big data and visualise descri ptive, predictive, and prescri ptive analytics (i.e. sentiment analysis, web and text mining). This is critical to strengthen the decision support system while managing customer relationship, supply chain, and business performance. By playing a finance analytical role, I am capable of not only combining but also harmonising the study of accounting and information system. This highlights my abilities to apply MS Excel (i.e. Solver/Add-ins, VBA), ERP systems (e.g. Xero, SAP, ACE Payroll), and BI tools (i.e. Tableau, RapidMiner). Accumulated practical experience in managing fixed assets, working capital (AR/AP), forecasting, and preparing financial statements in compliance with IFRS and PRC GAAP. Studied theoretical knowledge about the incomes, deductions, PAYE, Fringe Benefit Tax, and GST. Extensively applied ERP systems including Xero, ACE Payroll, SAP, QuickBooks, and Dynamics in real business.

Willing to travel: 50 miles

Experience: Tutored the whole class (Level 8-9) in the courses of Managerial Accounting, Data Analytics (i.e. sentiment analysis, web and text mining), and Business Intelligence tools including Tableau, RapidMiner, and IBM Watson at the University of Canterbury