Analyze key supply chain issues through data-driven forensics, including services performance, Demand and supply volatility and Inventory planning.
Collect relevant data, analyze root causes and make intelligent recommendations to improve service performance in all functions of supply chain. Translate analysis with relevant visualizations and effectively convey the information to deliver the strategic initiatives.
He/ She must collaborate and partner with various cross-functional teams within the company, especially with sales and marketing, operational supply chain team, and customer service, to plan and lead process improvement initiatives.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources. Strong Data Management, Create and maintain optimal data pipeline architecture with Querying & Analytical skills with attention to detail.
Proficient in handling large data sets with strong quantitative skills , well placed as an expert level inanalytical tools, BI and SQL is mandatory.
Demonstrates strong leadership and people skills
Able to work independently (e.g. individual contributor) as well as in a team (e.g. group contributor) with strong sense of ownership, execution and communication skills
Passion for technology, good communicator, team player, positive and can-do attitude
Qualifications
Bachelor's degree or equivalent in Business, Engineering, Supply Chain Management
Minimum 5 years in supply chain functions with exposure to various supply chain processes. Preferred B-B /B-C related experience.
Certified data analyst/ scientist course with advanced working SQL, data modelling and experience working with relational databases.
Additional Information
Experience building and optimizing 'big data' data pipelines, architectures and data sets
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Strong analytic skills related to working with unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency and workload management
Strong project management and organizational skills
Experience supporting and working with cross-functional teams in a dynamic environment
Understanding of SAP R/3 incl. data structure
Knowledge in logistics and supply chain process ( O-C and P-P process)
Experience in Web Portal and mobile development is plus
