Senior Data Analyst

Responsibilities:

• Develop detailed annual and 3-year freight spend forecasting and provide as input to NA Finance team.
• Support capability development, analysis and implementation tracking to ensure benefits are robust and mutually exclusive across business segments.
• Provide detailed volume/spend analytics to support LSP team during recurring sourcing events and recommend vendor selection/allocation.
• Develop and maintain centralized Transportation-related data consumption and reporting layers.
• Conduct ad-hoc analysis to support strategic top-to-top discussions with both key internal and external partners.

Requirements:

• Bachelor's degree in Business Administration, Supply Chain, or combination of relevant education, experience, and training.
• 5 years of progressive analytics experience in the field of operations and logistics.
• 4 years of experience in Tableau required.
• Ability to conduct root cause analysis to pinpoint variances, and recommend solutions to avoid variances in the future.
• Forecasting experience using a variety of methods to inform future-state planning.
• Logistics financial acumen and can manage competing priorities with limited supervision.

Key Skills:

• Data cleaning and preparation.
• Data analysis and exploration.
• Statistical knowledge.
• Creating data visualizations.
• Creating dashboards and reports.
• Writing and communication.
• Domain knowledge.
• Problem solving.