Logistics Data Analytics

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Supports inbound and/or outbound logistics processes and planning to ensure smooth material and information flow throughout the entire supply chain as required. Leads project team(s) in analyzing, interpreting and documenting logistics processes and information and making recommendations for process changes and/or improvements: Additionally, you will:

• Coordinates with unit logistics operations or coordinates unit logistics operations, other functional areas, and 3rd party logistics providers to ensure that network operations are fully functional and aligned with company initiatives.
• Maps current and proposed logistic processes, to include the design of new processes, networks and distribution modes, analyzing data, identifying gaps and recommending solutions for continuous improvement.
• Acts as a resource for company or factory logistics groups, unit operations, and suppliers as problems, questions and concerns arise regarding logistical processes.
• Coordinates factory logistic requirements with Worldwide Logistics department.
• Develops and maintains processes to support strategic unit, division and/or enterprise logistics initiatives.
• Leads cross functional teams in support of daily logistics activities.
• Coaches and counsels’ other employees to promote employee development and professional growth.
• Lead supply chain optimization projects across the enterprise
• Lead the development of logistics engineering data & analytics guidelines and methods
• Work with IM&S and suppliers to optimize logistics process and cost

What Skills You Need:

• Acquaintance with different data base – SQL, Data Bricks, SAP Hana
• Statistical understanding
• Hands on exposure on analytical tools – Python, R, Power BI & Tableau
• Strong knowledge in DCF calculations
• Ability to analyze the model and interpret the data
• Managing multiple projects while working with cross functional teams
• 6 or more years of experience focused in inbound/ outbound logistics operations
• 3 or more years of experience focused on supply management or manufacturing engineering
• Ability to work flexible hours to support global production systems and operations
• Financial acumen to scale business opportunity that will drive production system value

What Makes You Stand Out:

• Experience leading a cross functional team
• Experience leading process development and change
• Experience in production manufacturing, material flow, supply management and logistics/distribution systems
• Experience working with warehousing and distribution systems
• Experience using root cause analysis tools
• Experience building business cases for capital expenditures

Education (or equivalent experience):

Ideally you will have a degree or equivalent related work experience in the following

• Bachelor’s degree in Engineering, Certifications in Statistics, Business Analytics.