Manager - Supply Chain Excellence Analytics

2 months ago
Requisition ID
Logistics/Distribution/Transportation Management
Employment Type
Regular - Full Time (4)
Travel Requirements
Position Code

Position Description

The Manager SC Excellence Analytics will lead the effort in identifying, evaluating and progressing the analytical toolset and processes that will drive business intelligence. This leader will have the ability to leverage analytics to grow existing business and win new business by working directly with internal operational and cross-functional stakeholders to identify new tools and processes and to leverage historical data points in a consistent, holistic and insightful manner.


The individual will consult with internal and external contacts to demonstrate the value of analytics and to drive capabilities as a competitive differentiator, as well as, lead the research of new tools and approaches that will drive future analytical and business intelligence capabilities.


Preferred Skillset:

  • Ability to lead meetings across IT, operations and Engineering to derive requirements and needs of business to accomplish goals
  • Work with operations to understand key transactions that occur within the operations (receiving, putaway, picking, truck loading, etc…) in the WMS
  • Work with operations to understand business logic that needs to be applied to raw data so it can be translated into a standard data model
  • Develop and own SQL queries that pull relevant data from the WMS (transactional data, current status’s, etc…)
  • Ability to work with other developers that develop dashboards and visualizations with the data being extracted with the SQL written by this person
  • Ability to apply concepts learned from one WMS instance to another (they will be developing similar queries from one account to another with only minor changes in logic that is specific to that account)
  • Experience with PowerBI is strongly preferred 


  • Bachelor's degree in computer science, business, business process improvement, informatics, or engineering
  • Master's degree in computer science, business, business process improvement, informatics, or engineering, preferred
  • Eight (8) years or more of experience in business analysis, engineering, or IT project management
  • Experience with Microstrategy, SAS, SSRS, and/or SQL
  • Experience with SDLC methodology
  • Experience in systems development and project management preferred
  • Project Management Professional (PMP) certification preferred
  • Certified Six Sigma Black Belt within one (1) year of hire required
  • IIBA -Certified Business Analysis Professional (CBAP) preferred
  • TDWI - Certified Business Intelligence Professional (CIP) preferred
  • Ability to:
    • Analyze and solve problems; detail-oriented
    • Read and/or listen and understand information and ideas communicated
    • Present information and ideas clearly and understandably to others
    • Effectively facilitate meetings, work sessions, and trainings
    • Interact with employees at all levels of the organization
    • Learn a new business and systems
    • Guide, engage, and impart knowledge to others
  • Knowledge of:
    • Business planning and strategic thinking
    • Data warehousing concepts, data modeling concepts, business intelligence and current industry trends (advanced level)
    • Different business analysis techniques and different system methodologies (advanced level)
    • Business process improvement techniques (advanced level)
    • Ryder business knowledge/practices/processes (intermediate level) preferred



  • Modeling tool development & application:
    • Thoroughly understand DM modeling tools and how to apply them to practical applications
    • Pursue self-training and third party training when necessary to fully understand technical parameters and capabilities of tools; proprietary tools include the standard resource model and data utility tool, and off the shelf tools include slotting tools, CAD tools, and discrete-event simulation tools.
    • Rapidly engage in toolset usage for business development, consultative efforts, and continuous improvement projects
    • Leverage toolset to drive to a solution for the customer
    • Ask relevant questions, make assumptions as necessary, and support project from initial phases through recommendations
    • Employ process improvement practices and techniques to analyze and recommend solutions that will improve the efficiency and effectiveness of business processes and procedures
  • Benchmarking, profiling & business intelligence:
    • Identify appropriate infrastructure and processes for data warehousing of DM profile information
    • Work cross functionally with engineering, labor management, operations, IT, solutions, finance, real estate, and HR to include relevant data points related to labor, operating parameters, productivity, equipment & capex, WMS, real estate, and financial performance
    • Identify synergies with other databases, such as Dploy metrics and ops excellence databases, financial databases, SharePoint repositories, Yammer repositories
    • Create a holistic long-term framework for use of enterprise data to support business intelligence
  • Consulting support:
    • Work with functional leads to scope opportunity and develop statement of work for DM consulting, including project plan, resource plan, communication plan, deliverables, cost, and other details as per internal documented consulting SOW
    • Generate deliverables including items such as data profiling, resource modeling, AutoCad layouts, equipment requirements, capex requirements, labor strategy, operating strategy, material flow plans, overall design strategy, payback analysis, and/or pricing inputs
  • Data analysis & presentation:
    • Collect data, both on the floor and from available datasets, including WMS data using standard data collection techniques to ensure proper sample quality and proper sample size
    • Perform data analysis on large data sets which may require use of a relational database to query and summarize the data; data validation techniques must be leveraged to check results of data analysis
    • Write queries and reports to retrieve information on request
    • Provide ad-hoc reporting and different analysis
    • Prepare customer-facing content from data analysis & summary per input from sales, solutions, engineering, or IT leads
  • Research, distribute, and train on toolset:
    • Research new toolset capabilities and collaborate with the new product development (product innovation) team as needed
    • Develop training content, schedule training, train user community on toolset
    • Distribute toolset via documented distribution process
    • Serve as internal support for questions or troubleshooting on toolset
    • Communicate timing and planning for future releases of toolset
  • Lead the effort in identifying, evaluating and progressing distribution management (DM) analytical toolset and processes that will drive DM business intelligence and the ability to leverage DM analytics to grow existing business and win new business.
    • Proactively engage with stakeholders
    • Maintain and deliver on project plans and develop the necessary buy-in from stakeholder
    • Sustain advancements by paying attention to the training content, documentation and procedures

ryder-logoRyder is proud to be an Equal Opportunity Employer and Drug Free workplace. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.



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