Senior Demand Planning & AI Analytics Lead

Amsive; Bolingbrook (IL); Hybrid; USD 72,000 - 88,000; Full time

Benefits offered by this job

Hybrid work model

Health insurance

Dental and Vision insurance

401(k) with company match

Paid parental leave

Unlimited vacation

Annual sick days

Job summary

Amsive is seeking a Senior Demand Planning Analyst to translate demand signals, operations data, and financial information into actionable insights that improve capacity utilization, labor efficiency, and profitability. You will collaborate with Sales, Operations, Finance, and Technology to forecast demand and support data‑driven decisions across the organization.

The ideal candidate is highly analytical, eager to learn, and ready to apply AI and automation to modernize forecasting and decision

Qualifications

• Bachelor’s degree in Supply Chain, Operations Management, Industrial Engineering, Finance, Economics, Statistics, Data Analytics, Business, or a related field.
• 2+ years of experience in demand planning, supply planning, manufacturing analytics, operations finance, capacity planning, or a similar analytical role.
• Advanced Microsoft Excel skills, including complex formulas, pivot tables, scenario modeling, and data analysis.

Responsibilities

• Develop and maintain short-, medium-, and long-range demand forecasts by customer, product, facility, production line, or other relevant business segment.
• Consolidate historical demand, sales pipeline information, customer forecasts, seasonality, market trends, and operational inputs into an integrated demand plan.
• Analyze forecast accuracy, bias, variability, and key demand drivers.
• Identify significant changes in demand patterns and communicate potential operational and financial implications.
• Develop detailed capacity models across facilities, production lines, equipment, labor groups, and shifts.
• Compare forecasted demand against available production capacity to identify constraints, excess capacity, and potential service risks.
• Evaluate the impact of customer growth, new business opportunities, product mix changes, equipment downtime, staffing changes, and productivity assumptions.
• Perform scenario analysis to support decisions related to overtime, shift structures, capital investments, outsourcing, facility utilization, and production scheduling.
• Create forward-looking capacity dashboards that provide leadership with visibility into anticipated utilization and bottlenecks.
• Analyze labor performance, including labor hours, units per labor hour, earned versus actual hours, overtime, staffing levels, and utilization.
• Identify productivity trends, labor inefficiencies, and performance gaps across facilities, shifts, departments, and production lines.
• Evaluate the impact of product mix, run size, setup time, downtime, training, absenteeism, and staffing levels on labor performance.
• Support workforce planning by identifying future labor needs, productivity opportunities, and potential staffing risks.
• Analyze customer, product, job, facility, and production-line profitability.
• Identify margin improvement opportunities and areas of financial underperformance.
• Support customer pricing, contract evaluations, business reviews, and new-business assessments with fact-based financial and operational analysis.
• Partner with Finance to improve cost-to-serve, contribution margin, and unit-economic models.
• Build and maintain dashboards, models, and recurring reporting that provide clear visibility into demand, capacity, labor, productivity, service, and profitability.
• Convert complex data into concise insights and recommendations for operational and executive leadership.
• Develop standardized performance metrics and ensure consistent definitions across departments.
• Perform root-cause analysis on operational and financial performance variances.
• Identify emerging trends, risks, and opportunities before they materially affect business results.
• Actively learn and apply artificial intelligence, machine learning, automation, and advanced analytics to demand planning and operational decision-making.
• Identify opportunities to automate manual reporting, recurring analysis, data preparation, and forecasting processes.
• Experiment with AI-enabled tools to improve forecast accuracy, detect anomalies, summarize performance drivers, and accelerate decision-making.
• Promote responsible, secure, and practical use of AI and modern data tools.

Education

Bachelor's degree in a related field

Tools

Dataroma

Tableau

Power BI

Job description

Amsive is seeking a Senior Demand Planning Analyst to translate demand signals, operations data, and financial information into actionable insights that improve capacity utilization, labor efficiency, and profitability. You will collaborate with Sales, Operations, Finance, and Technology to forecast demand and support data‑driven decisions across the organization.

The ideal candidate is highly analytical, eager to learn, and ready to apply AI and automation to modernize forecasting and decision