Core Responsibilities

• Lead analyst for Texture Solutions produced in the APAC region in support of comprehensive Texture Solutions Food portfolio.
• Leverages internal and external data sources (including market reports, internal data points, import data and other relevant data sources) to support portfolio strategies and monitor texture portfolio performance.
• Providing a consolidated view of the portfolio performance through data analytics, working closely with geographies to ensure alignment of strategic targets and plans.
• Provide analysis to support regional S&OP projects to align global portfolios.
• Leads creation of complex analyses and data visualization tools in support of Global Texture Solutions Food team
• Collaborates with other PLM peers on leveraging best practices and capabilities, so there is a common methodology in how Global Texture Solutions Food conducts analyses
• Developing, maintaining and managing Business Intelligence dashboards for pricing, SKU optimization and other key analyses for PLM to assist in quicker analytical capabilities and decision-making.
• Support global process/systems for customer intelligence (e.g., share of wallet & opportunities analysis) on assigned product categories.
• Ad hoc reporting as needed

Mandatory Requirements

Qualified candidates will have:

• Bachelor’s degree in Accounting, Finance, International Business, Data Analytics, or Supply Chain. MBA preferred.
• 3 to 5 years of B2B industry experience in business analysis, pricing or project management, ideally in the food & beverage industry
• Strong Financial, analytical, data visualization, and communications skills required
• Experience in a manufacturing industry, preferably in the Food & Beverage space
• English fluency, both written and spoken

Desirable Requirements

• Experience building PowerBI dashboards
• Experience with SAP BW (Bex) and SAP Analytics

Required Behaviors And Skills

• Strategic mindset with excellent analytical skills and financial acumen
• Creative thinker who can use various datasets to tell a story
• Proven ability to build relationships and work effectively within a matrix organization
• Natural curiosity and strives to go beyond the assigned task
• Anticipate questions and objections and proactively answers the question “so what”