Analyst (Supplier Compliance, Promotions, Rebates, Pricing)

Description:

• Read and understand our client’s agreements with their suppliers in English (agreements can be within Emails, Business Contracts, Price Change Forms...)
• Using Excel, perform analysis on the client’s transactional data (Accounts Payable, Invoice Details, Purchase Orders, Sales…)
• Compare the client’s transactional data with the client’s agreements to validate if all transactions have been paid correctly
• Identify any historical transactions which have some sort of payment error (where the data does not match to the agreement)
• Create detailed reports in Excel to describe and calculate any payment errors identified
• Discuss your findings by emails or IM with the overseas project teams and customers located in Australia, New Zealand, etc.
• Using our tools and the available data/agreements, assist to recover the missing monies from our client’s suppliers and resolve any errors identified
• Additional processing, transformation, and validation of data may also be required to assist with the analysis, recovery, and resolution of the errors
• Other assignments by line manager

BENEFITS:

• 13&14 monthly salary payment per annum
• 14+ full-paid annual leave
• A day off for Christmas (25th December)
• Screen Free Day
• Training Courses
• Personal Health Care
• Company trip/ Team Building/ Year End Party
• Annual health check
• Parking fee
• Mid -Autumn gift/ Tet gift/ Happy hour/ Sport Day..

Requirements:

• University degree in related fields (Finance, Auditing, Economics, Business, Banking, English language, Business English,...)

Skills:

• Excellent level of English (especially reading - and verbal communication)
• Detail-oriented, careful manner
• Logical Thinking
• Good analysis skills, love to work with figures/data
• A good team player to effectively work in a dedicated team
• Able to work under high pressure with good change management skills
• Good at MS Office, especially Excel
• Basic knowledge of SQL
• Additional plus: knows Python, Power BI, VBA