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Senior Analyst, Transportation Insights
Company | Nike |
Address | Beaverton, OR, United States |
Employment type | FULL_TIME |
Salary | |
Category | Retail |
Expires | 2023-08-11 |
Posted at | 9 months ago |
Become a Part of the NIKE, Inc. Team
- Bachelors degree in Business Administration, Supply Chain, or combination of relevant education, experience, and training
- 3+ years of experience with Inbound or Outbound Transportation
- Conduct ad-hoc analysis to support strategic top-to-top discussions with both key internal and external partners (e.g strategic customers, carriers/vendors, and internal leadership).Qualifications
- Forecasting experience using a variety of methods to inform future-state planning
- Support capability development, analysis and implementation tracking to ensure benefits are robust and mutually exclusive across business segments
- Logistics financial acumen and can manage competing priorities with limited supervision
- Coordinate and lead the delivery of large analytics projects with multiple business partners on firm deadlines
- Collaborating with data analysts, data scientists, and other partners to understand their data requirements and provide them with reliable and well-structured data. This includes assisting in data exploration, data preparation, and data quality checks
- Maintain centralized Transportation-related data consumption and reporting layers
- 4+ years experience in Tableau required
- Drive analysis of financial and operational performance data (e.g. modeling, predictive analytics) to identify key insights and opportunities to improve the end-to-end transportation network (e.g. carrier strategy, mode allocation, port mixture, transportation flows, etc.)
- Provide detailed volume/spend analytics to support LSP team during recurring sourcing events and recommend vendor selection/allocation
- Develop detailed annual spend forecasting and provide as input to NA Finance team
- Descriptive, predictive, and prescriptive analytics experience with complex, unrefined data using a variety of analytical and statistical toolsets, examples include SQL, Python, Alteryx, R, or other data manipulation/mining tools
- 5+ years of progressive analytics experience in the field of logistics
- 4+ years of experience in Python preferred
- Demonstrated experience simplifying complex analytics to explain difficult concepts and garner cross-functional buy in
- Excellent communication skills
- 5+ years of experience with SQL
- Ability to conduct root cause analysis to pinpoint variances, and recommend solutions to avoid variances in the future
- Excellent organizational skills
- Build and deploy quantitative research, casual inference and predictive models to understand and optimize drivers of growth and performance
- Build and deploy forecasts and report business key performance indicators (critical metrics) for senior leadership and partner with the team members to deliver relevant analysis and insights
- Ability to thrive in a fast paced and ambiguous environment
- Consulting or Finance experience
- Strong proficiency in Agile methodologies with a track record of successfully delivering projects in iterative and collaborative environments
- Alteryx experience
- This overview explains our hiring process for corporate roles. Note there may be different hiring steps involved for non-corporate roles
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