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Sr Demand Planner

Job in Bolingbrook, Will County, Illinois, 60440, USA
Listing for: ULTA Beauty
Full Time position
Listed on 2026-06-19
Job specializations:
  • Business
    Data Analyst, Business Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Role Overview

The Senior Demand Planner is responsible for overseeing all aspects of inventory demand forecast for all brands under your portfolio and lead a team to achieve the strategic and financial objectives of the enterprise. In addition, this role will serve as a critical tie‑in across multiple stakeholders to ensure optimal performance and end‑to‑end efficiency. By taking a lead role in enterprise projects and initiatives, you’ll enable Ulta Beauty and the Merchandise department to be bigger, better, together.

Key Responsibilities
  • Develop the full year sales construction by ensuring alignment between bottoms up SKU forecast and tops down category/season forecast within a marginal tolerance, highlighting root causes of future risks/opportunities.
  • Manage and refine demand forecasts using historical sales data, market trends, and promotional activities. Tune forecasting parameters.
  • Partner with merchants and merchandise planning to grow and drive the business. Analyze market trends, historical data and customer/sales insights to drive the business.
  • Partner with FPA to provide insights into changes (sales, receipts) that impact overall financial performance and ensure decisions are made with a thorough understanding of the impact on the bottom line.
  • Optimize inventory levels across multiple retail locations and distribution centers to prevent stockouts and overstocking.
  • Leverage data visualization tools (e.g., Power BI, Tableau) to present insights to leadership. Partner with buyers, category managers, and store operations to incorporate market intelligence into forecasts.
Additional Responsibilities
  • Lead key engagements with the ability to craft a story and tell it through impactful visuals and produce alignment to actions and decisions.
  • Anticipate implications of actions or decisions throughout the end‑to‑end planning process and proactively address as needed.
  • Strategically evaluate evolving trends and recommend, lead and support the implementation of new ways of working, even in an ambiguous environment.
  • Be obsessed with positive customer outcomes and demonstrate the ability to define business problems, metric outcomes and how they will be measured and monitored for broad utilization across stakeholders.
  • Provide data‑driven recommendations to improve supply chain efficiency and financial performance.
  • Identify opportunities to enhance demand planning methodologies and automation.
  • Lead or contribute to system enhancements and integration projects.
  • Utilize advanced analytical techniques, including predictive modeling, machine learning, and statistical analysis, to generate actionable insights.
Essentials for Success
  • Bachelor’s or Master’s degree from an accredited college with a focus on Data Science, Statistics, Business Analytics, Computer Science, or a related field. A Master’s degree or MBA is preferred.
  • 7+ years of demand planning, forecasting, or inventory management experience in a retail environment, with at least 1‑2 years in a leadership role.
  • Proven track record of driving demand planning improvements and optimizing inventory strategies, knowledge of demand forecasting models (e.g., Time Series, Bayesian, etc.).
  • Advanced proficiency in demand planning software (e.g., Manhattan – DFIO, SAP APO, O9, Blue Yonder, Kinaxis, Anaplan).
  • Advanced knowledge of statistical techniques and concepts (e.g., multivariate regression, A/B tests, decision trees, etc.) and experience applying these to use cases.
  • Experience using statistical computer languages (e.g., Python, R) and related frameworks to manipulate data and draw insights from large data sets.
  • Experience with SQL and related data access and analysis tools to mine data, identify insights, and extract features.
  • Excellent interpersonal, verbal, and written communication skills to communicate complex ideas to various audiences in both a technical and user‑friendly language.
  • Demonstrated ability to work effectively both in a team environment and independently by handling multiple projects, meeting deadlines, prioritizing appropriately, and responding to issues quickly and creatively with an open and positive attitude.
  • Energetic and self‑motivated with a strong…
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