B2B Inventory & Merchandising Analytics Analyst

Lands' End Inc

Dodgeville, WI

JOB DETAILS
SKILLS
Analysis Skills, B2B eCommerce, Business Analysis, Business Intelligence, Business Intelligence Software, Business-to-Business (B2B), Data Analysis, Data Science, Data Sets, Demand Forecasting/Planning, Economics, Forecasting, Inventory Levels, Inventory Management, Inventory Planning, Inventory Reports, Leadership, Merchandising, Metrics, Needs Assessment, Performance Analysis, Performance Management, Power BI, Predictive Modeling, Procurement Management, Procurement Planning, Product/Service Launch, Programming Languages, Purchasing/Procurement, Python Programming/Scripting Language, Quantitative Analysis, R Programming Language, Reporting Dashboards, Reporting Skills, Retail Merchandising, Risk, Sales, Sales Analysis, Stock Keeping Unit (SKU), Supply Chain, Trend Analysis, eCommerce
LOCATION
Dodgeville, WI
POSTED
30+ days ago

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.

Demand Forecasting & Predictive Analytics

  • 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.

Inventory Planning & Optimization

  • 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.

B2B Sales & Inventory Performance Analytics

  • 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.

Business Insights & Executive Reporting

  • 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.

Analytics & Data Enablement

  • 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.

Skills

  • 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.

Education & Experience Requirements

  • 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

About the Company

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Lands' End Inc