Description

The Supply Chain Data Analyst is a central and dedicated analytics point of contact for IPL and SC management, 3PLs, carriers, and consultants within global operations.  The analyst synthesizes and leverages data-sets based on modeling with process knowledge around planning, distribution, warehousing and logistics and its interdependencies. 

Presents results to management and business partners to support making high-impact business value decisions. Engages with the business and IT on (data) governance to make sure that Data and Business Processes are aligned, with high-performance and agile processes as result. Closely collaborates and builds effective relationships with team and business partners to understand the data and related improvement needs of the business. Continuously searches for innovative ways to drive awareness on data driven opportunities and will be recognized as a key member in the analytics/data science area within supply chain domain.

Assigned Responsibilities:

• Drives analytics for supply chain optimization including Network optimization, Inventory Optimization and Logistics optimization by collaborating with data scientists team
• Support key strategic initiatives on SMI and process improvements with analytics contributions
• Understand market trends and assess impacts with regards to supply chain operations. 
• Support the reporting and analytics, such as KPIs, financial reports, and creating and improving dashboards
• Support the development of an “analytical capability” and “big data” concepts to become the business expert in these areas
• Translates large data sets, analysis and complex models in usable, effective and presentable data to key stakeholders to drive business improvement opportunities
• Effectively participate and leads in (cross-functional project) teams
• Participate in production of innovative analytic solutions that drive existing and changing business processes and business strategies
• Perform recurring and ad hoc quantitative analysis to support day-to-day decision making
• Work with customer-centric algorithm models and tailor them to each customer as required

Qualifications

• Bachelor’s degree in quantitative/analytical related discipline (Engineering, Supply Chain, Logistics, Business, Economics or Information Systems) or equivalent work experience
• Knowledge of Qlik and PowerBI data visualization development
• Experience with SQL (data pulls, reporting development, scripts, etc.).
• Strong cross functional collaboration with supply chain users is essential
• Excellent written and oral English communication skills are required
• Excellent helicopter view as well as deep dive analytical skills are required
• Ability to translate complex data into a consumable presentation
• Minimum 5-7 years’ experience in Supply Chain with Inventory Management, Logistics and Warehousing
• Ability to travel internationally

Key Stakeholders:

• Global Functional SC and IPL leadership, Brand, Planning, Distribution, Warehousing, Logistics, IT, Business Strategy Analytics