Req ID: 486250
Our IT Supply Chain Distribution team is looking for a
Sr. Systems Analyst to serve as the functional and data-driven lead for
Blue Yonder (BY) cloud solutions with a primary focus on
Forecasting & Replenishment, specifically
LDE and FF. This role provides day-to-day direction on system usage, configuration support, and business process alignment-ensuring forecasting, replenishment, and supply planning outcomes are accurate, explainable, and operationally adopted. A core expectation is a clear understanding of Blue Yonder data within the PDC (Product/Data Cloud environment) and the end-to-end mapping of PDC data into downstream BY applications, including how master data, hierarchies, measures, and integration objects drive LDE/FF behaviors and outputs. Secondary (nice-to-have) scope includes broader BY modules and Space/Floor Planning conce.
Job Functions:- Provide functional leadership and guidance on the effective use of Blue Yonder capabilities (LDE/FF/CatMan), translating business objectives into actionable system improvements through configuration, feature enablement, data modifications,
- Analyze forecast/replenishment performance and root cause issues (bias, volatility, poor causal inputs, master data defects), monitoring the solution for performance and model efficiency and effectiveness
- Own the understanding and documentation of the Blue Yonder platform at Love's, including data and integrations into, out of, and within Blue Yonder, business rules and logic, flexible editor pages, AI models, and business function alignment for Forecasting, Replenishment, and CatMan (Space & Floor Planning)
- Execute or support configuration changes for Blue Yonder LDE/FF/CatMan (where applicable) and coordinate with technical teams
- Create user stories, test scripts, and defects and execute functional testing for enhancements, data model changes, feature enablement, and vendor-related upgrades and modifications
- Provide support and post-release monitoring to ensure stability and adoption of solutions
- Collaborate with data engineers, integration engineers, and Blue Yonder resources to design solutions and resolve issues
- Clear understanding and ability to leverage AI within the Blue Yonder solutions to drive business value
- Stay abreast of Blue Yonder feature roadmaps to provide findings and recommendations to leadership, including usage, impacts, and risk assessments
- Supports broader team and enterprise goals by proactively contributing to initiatives outside of core responsibilities.
- Other duties as assigned.
Experience and Qualifications:- Bachelor's degree typically required
- Preferred fields of study:
- Management Information Systems (MIS)
- Supply Chain Management
- Data Analytics
- Industrial Engineering
- Or a related technical or quantitative discipline
- 3-7 years of hands-on experience implementing, configuring, or supporting Blue Yonder Forecasting & Replenishment cloud solutions, with a strong preference for LDE (Luminate Demand Edge) and/or FF (Fulfillment Forecasting).
- Proven experience working in retail, grocery, CPG, or other high-volume environments with complex item/location/store hierarchies.
- Strong understanding of end-to-end forecasting and replenishment processes, including how master data, hierarchies, measures, and integrations influence planning outputs.
- Experience partnering with business stakeholders, IT, and vendors to deliver scalable, explainable planning solutions.
SKILLS- Soft Skills:
- Influencing without formal authority
- Translating technical and data concepts effectively for both technical and non-technical audiences
- Applying structured problem-solving techniques, including hypothesis formulation, root cause analysis, and delivering practical recommendations
- Understanding change management and control processes
- Fostering collaboration
Hard Skills:
- Data mapping and modeling, forecasting methods, and machine learning models
- Replenishment logic, planning calendars, and lead times within Artificial Intelligence and Machine Learning frameworks
- Proficient analytical and data querying skills (SQL, Snowflake) alongside effective use of business intelligence data access tools
- Development of process flows, user stories, configuration specifications, and acceptance criteria
- Testing rigor encompassing scripting, execution, regression, performance, and automation, coupled with KPI design and monitoring
Work Environment:- Prolonged sitting, some bending and stooping
- Eye strain (screen use)
- Operation of a computer keyboard and calculator
- Occasional lifting up to 25 pounds
Typical Physical Demands: - Requires normal range of hearing and vision
- Additional hours may be necessary
- Possibility for travel based on project needs
