B2B Inventory & Merchandising Analytics Analyst

Lands' End•Dodgeville, WI

About The Position

The B2B Inventory & Merchandising Analytics Analyst partners closely with merchandising, inventory planning, and B2B business leaders. This role will focus on delivering data-driven insights, demand forecasting, and inventory projections that enable smarter buying decisions and improved inventory performance for the B2B channel. The analyst will support planners by combining business analytics, SKU-level inventory modeling, and time-series forecasting techniques to evaluate forecast accuracy, identify demand trends, and improve inventory planning decisions. This role sits within the analytics organization and plays a key role in advancing more modern, data-driven inventory planning capabilities, including predictive forecasting and scalable analytics.

Requirements

Strong analytical and quantitative skills
Advanced Excel and data analysis skills
Experience analyzing large datasets and building forecasts
Experience with time-series forecasting or predictive analytics
Familiarity with programming languages such as Python or R
Experience with BI tools such as Power BI
Retail, merchandising, or supply chain analytics experience
Works independently on routine tasks and requires limited supervision.
Contributes to team projects and collaborates effectively with peers.
Bachelor’s degree in Analytics, Data Science, Supply Chain, Business, Economics, or a relevant field
2-5 years of experience in analytics, demand forecasting, inventory analysis, or merchandising analytics

Responsibilities

Develop and maintain SKU-level demand forecasts using statistical and time-series forecasting techniques
Analyze forecast accuracy by comparing historical forecasts to actual results and identifying drivers of variance
Apply forecasting approaches such as weighted averages, moving averages, seasonal decomposition, time-series models
Identify seasonal patterns, trends, and demand shifts that should be incorporated into planning models.
Support scenario modeling to evaluate future inventory needs and demand projections.
Partner with inventory planners to evaluate buy plans and inventory strategies based on forecasted demand
Analyzing the impact of inventory decisions on key metrics such as fill rate, inventory coverage, stockout risk, ending inventory levels
Provide scenario analysis such as impact of reducing buy plans, inventory projections for future product launches, SKU-level demand projections
Support long-term planning models for major launches and assortment changes.
Produce reporting and insights to monitor sales performance and inventory health of key enterprise clients
Develop and maintain monthly inventory performance reporting.
Analyze sales patterns, product performance, and purchasing behavior to inform planning decisions.
Analyze and provide insights on the overall program to help influence future forecasts and decisions.
Prepare inventory insights and reporting for quarterly business reviews and leadership updates.
Develop clear, actionable analysis that helps merchandising and planning leaders make informed decisions.
Translate complex data into simple insights and recommendations.
Strong curiosity, be able to ask the right questions to get the desired outcome from the team.
Work with data engineering and BI teams to ensure planners have reliable and scalable access to inventory and sales data
Build dashboards and analytics solutions using tools such as Power BI.
Contribute to the development of modern analytics capabilities, including automated forecasting and advanced demand modeling.
Be able to build visuals or frame up the data in a digestible way to folks that don’t work with the numbers every day. Both for internal and external purposes.