Manager Engineering Analytics
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Job Location:
Memphis, TN - USA
Monthly Salary:
Not Disclosed
Posted on:
10-11-2025
Vacancies:
1 Vacancy
Job Summary
Location-North American Logistics Campus 3100 New Frayser Blvd Memphis TN 38128.
Shift-Monday-Friday 8AM-5PM.
Nike logistics operating philosophy is based on the principle that leaders are responsible for developing talent so problems can be solved at the right level enabling continuous improvement which is essential for sustainable growth and the delivery of business results.
WHO WE ARE LOOKING FOR
We are looking for an innovative and solutions-oriented engineering analytics leader to join the team responsible for data & analytics support of the Nike NA Supply Chain network of distribution centers.
WHAT YOU WILL WORK ON
You will lead coach and develop an exceptional team of engineering talent to their full potential to explore technologies design develop and implement solutions of physical distribution and fulfillment centers under a structured analytical process.
The successful candidate will have an established background leading & working in highly cross-functional teams with capability to demonstrate strong technical knowledge of various analytical tools technical problem-solving ability excellent project management skills and an internal motivation to achieve results in a fast-paced and often ambiguous environment.
- Leverage data and information to improve visibility to supply chain distribution center capacity and health metrics
- Provide data that supports cost/benefit analyses and craft compelling arguments for capital investment to specific DC design requirements and drive cross-functional alignment with senior leadership
- Lead the execution of a standardized operating model to ensure consistent timely business deliverables
- Support NA Supply Chian Engineering with various capital project analytics modeling & data mining used to develop RFP (Request for Proposal) scope of work and functional specifications leading to AR (Appropriation Request) approvals
- Collaborate with internal business partners to support various strategic initiatives across NA Supply Chain
- Manage numerous projects and tasks simultaneously while effectively influencing negotiating and communicating with internal and external business partners contractors and vendors
- Make data driven recommendations & decisions
- Responsible for team recruiting hiring mentoring and development
WHAT YOU BRING
- Bachelors Degree in one or more of the following fields: Computer Science Statistics Engineering (any field) or equivalent professional certification within the data & analytic field
- 5 years of experience in logistics engineering or related occupation of Analytics
- 2 years of experience leading successful teams preferred
- Advanced quantitative and qualitative analytical skills resourcefulness and keen attention to detail.
- Strong communication and stakeholder engagement with proven ability to effectively communicate complex and/or controversial topics and concepts across groups of cross-functional stakeholders
- Strong project management problem structuring and strategic problem-solving skills
- Experience working in regional environment with multiple entities
- Ability to review/validate analytical data and determine best course of action
- Demonstrated technical leadership and capability to facilitate team proficiency in advanced analytical tools
- Skilled in developing executive-level presentations and delivering clear impactful communication in both verbal and written formats
- Experience with Smartsheet Supply Chain Analytics tools such as Advanced Excel SQL Tableau & Tableau Prep SAP & Manhattan WMS
- Solid computer skills including MS Office Suite
We offer a number of accommodations to complete our interview process including screen readers sign language interpreters accessible and single location for in-person interviews closed captioning and other reasonable modifications as needed. If you discover as you navigate our application process that you need assistance or an accommodation due to a disability please complete the Candidate Accommodation Request Form.
Required Experience:
Manager
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
