Assistant Manager, HE Financial Operations

Position Summary

This role is intended to support financial processes via master pricing management and deep analysis AP1, AP2 & RTF. This role will be responsible for checking major issues of the business and establish a counterplan, or assist the management in effective decision-making by recognizing potential business risks beforehand.

Role and Responsibilities

·         This role will manage master SDU Pricing and margin process for the HE division including new product pricing registration (launch RRP, Margin, Invoice) and RRP move process

·         Approve special pricing conditions from sales team to support promotional objectives

·         Sell-in revenue forecasting process, contribute to weekly unit forecasts (AP2) based on analysis of channel inventory, sell-through history, future promotions, competitive activity, and seasonality by model and by key account. In order to do this, work closely with PM & BM Team, assisting in weekly sales forecast and product allocations.

·         Analyze and create template for weekly sell in & sell out to identify sales target status, ensuring fulfillment of delivery to achieve sales plans and product development.

·         Improve long-term sell-in forecasting with suitable analytical methodologies for TP process

·         Support set up new customers or new categories within existing customers

·         Release price block working with Sales, Finance and SCM Team to achieve monthly sales target

·         Manage B/R Good process with Sales Finance Team

·         TV & AV Sales deduction management and full AV TP & Closing forecasting process support

·         Provide business visibility to PM and BM Team with advanced revenue analytics

Skills and Qualifications

Minimum Qualifications:

• 4+ years of Experience with a Bachelor's Degree in Accounting/Finance or SCM/Operation or a related field

Preferred Qualifications:

• Advanced Excel skills
• Strong verbal and written communication skills
• Strong analytical skills with attention to detail and accuracy
• Accurate and timely analysis working with large multi-variable data sets
• Ability to handle multiple requests and re-prioritization in a fast-paced environment
• Strong time management

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