Job Description

About the Company

At Ibp2 you will help clients succeed by implementing best-in-class tactical and strategic planning solutions. We are a rapidly growing professional services firm that implements innovative IBP/ S&OP processes across companies of all industries & sizes. Our clients include many of the world’s largest and most well-known brands. We provide our clients with comprehensive process evaluation, design, digitization, data analytics, and implementation support. Our Client-First & Team-Centered culture fosters entrepreneurialism by engaging all associates in the firm’s efforts to succeed and grow. We believe that what we do goes deeper, to the heart of how we truly add value: We engineer collaboration, bring processes to life, and accelerate time to value.

About the Role

You are an experienced professional with a strong background in data analysis and advanced planning skills, particularly in at least one of the following areas; inventory optimization and analysis, forecasting and forecast performance, demand segmentation, and production planning/scheduling. You have superior data engineering skills and have mastered SQL or similar query languages. You possess expertise in various modeling languages such as Python, R, and Prophet, and you have experience applying Machine Learning and Artificial Intelligence to large data sets.

Responsibilities

• Make recommendations to clients using Inventory Optimization Analysis, Time Series Forecasting, Demand Sensing, and/or Capacity Planning.
• Collaborate with cross-functional teams (e.g., finance, logistics, procurement, operations) to ensure the successful adoption of planning initiatives.
• Develop and maintain key performance indicators and dashboards for planning initiatives (demand segmentation, inventory analysis, network optimization) to support performance improvements.
• Collect, analyze, and interpret supply chain data using advanced analytical tools and techniques, including Python, R, Prophet, and ML/AI applications.

Tools

• Develop reports & dashboards using Power BI, Tableau, Sisense, Domo, and Sigma to translate data into insights.
• Write efficient SQL queries to pull and manipulate data from Databricks, SQL Server, Snowflake, DuckDB, Access, and client OLAP sources.

Customer Engagement

• Decipher complex data structures, translate them into understandable formats, and communicate effectively to the Development Team.
• Collect, interpret, and evaluate data, brainstorm solutions, and project the consequences of recommendations.
• Evaluate front-end solutions to ensure alignment with original data sources.

The Candidate

• Bachelor’s degree in Supply Chain Management, Industrial Engineering, or a related field.
• 2+ years of experience in a technical, programming, or data role.
• 3+ years of experience in planning, inventory, or supply chain analytics.
• Problem-solving skills and the ability to manage multiple projects and deadlines in a fast-paced and dynamic setting.
• Strong written and verbal communication skills, particularly with outside stakeholders.
• Advanced planning analytical skills (inventory optimization and analysis, forecasting, demand segmentation, production planning / scheduling etc.)
• Expert analytical, quantitative, and data visualization skills, with the ability to interpret complex data sets.
• Proficiency in modeling languages (Python, R, or similar).
• Excel skills, including advanced formulas, pivot tables, vlookups, and data cleaning.
• Hands-on experience with model evaluation, best-fit model selection, forecast accuracy, and bias assessment.
• Experience with Databricks, SQL Server, Snowflake, PowerQuery, DuckDB, and Access.
• Experience with ML/AI (e.g., cluster analysis, time series forecasting, ensemble modeling).
• Familiarity with data visualization tools.
• Experience with Azure and AWS cloud computing is preferred.

The Perks

• Competitive salary
• Health, dental, vision, and life insurance coverage
• 4 weeks PTO, (+ major holidays)
• Discretionary 401k match program
• Hybrid office/remote schedule

The Location

Denver, Colorado

Other potential locations:

• Chicago, Illinois
• Portland, Oregon

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