Senior EDI Analyst managing onboarding, supporting testing, and optimizing EDI processes at Skechers. Collaborating with trading partners and internal teams to drive efficiency.
About the role
- Demand and Inventory Planner optimizing product availability and inventory efficiency for Randa Apparel & Accessories. Utilizing advanced analytics and forecasting methods to align inventory with consumer demand.
Responsibilities
- Demand Forecasting & Predictive Modeling: Build and maintain statistical and machine learning models to forecast demand across SKUs, categories, channels, and seasons.
- Incorporate business drivers such as seasonality, product launches, and market trends into forecasting models.
- Monitor forecast accuracy (MAPE, WAPE) and proactively recalibrate models as needed.
- Inventory Planning & Optimization: Analyze historical sales, inventory turns, and replenishment cycles to drive inventory planning strategies.
- Collaborate with Planning and Supply Chain teams to set safety stock levels and optimize reorder points.
- Identify excess and obsolete inventory and recommend mitigation actions.
- Business Intelligence & Reporting: Design and utilize dashboards and reports to visualize forecast performance, inventory KPIs, and demand trends using Power BI.
- Deliver actionable insights to support the Planning, Sourcing, and Merchandising teams in making informed decisions across the product lifecycle.
- Support monthly S&OP meetings by providing visibility into unsupported demand and SKU suspensions and actions to mitigate them.
- Cross-Functional Collaboration: Partner with Sales and Sourcing teams to align forecasting with business goals.
- Communicate complex analytical concepts in an accessible manner to both technical and non-technical stakeholders.
- Contribute to system and process improvement initiatives (e.g., forecast automation, integration of external signals like weather or POS data).
Requirements
- Bachelor’s or Master’s degree in Data Science, Statistics, Operations Research, Supply Chain, or a related field.
- 1–3 years of experience in a data science, analytics, or inventory/demand planning role, preferably in retail, fashion, or CPG industries.
- Strong analytical and problem-solving skills with the ability to handle large datasets and derive actionable insights.
- Experience with forecasting tools and frameworks.
- Strong understanding of supply chain planning concepts and KPIs (e.g., fill rate, lead times, inventory turnover).
- Familiarity with ERP systems and planning tools.
- Advanced Excel skills.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- Excellent communication skills, both written and verbal, for effective collaboration with cross-functional teams.
Benefits
- Competitive base salary.
- Hybrid work schedule.
- Three weeks of paid time off within the first year of employment.
- Company provided life insurance, short-term disability, long-term disability, and paid parental leave.
- Health, vision, and dental insurance options with low employee contributions.
- Commuter benefit plan.
- Optional supplemental life insurance, pet insurance, and accident & critical illness insurance offered at a group discount rate.
- 401(k).
- Unlimited access to our award-winning online fitness, and wellness program.
- A great place to work, fast-paced, with terrific career growth.
Job title
Job type
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Degree requirement
Tech skills
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