Hybrid Demand & Inventory Scheduler

Ingersoll Rand Compressor Systems & Services

Swords

Hybrid

EUR 60,000 - 90,000

Full time

2 hours ago

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Benefits offered by this job

25 Days Holiday + Statutory Holidays (

Employer Pension Contribution scheme

Death in Service Benefit of 4 x salary

Cycle scheme (After probation period)

VHI Health Cover

Employee Assistance Program (EAP)

Company Sick pay (After probation)

LinkedIn Learning (Full Free Access)

Ownership Works equity program

Job summary

Ingersoll Rand is seeking a Master Scheduler to drive demand planning, inventory optimization and data analytics. You will build rolling demand plans, optimize stock levels, and translate data into actionable insights across Commercial, Operations, Finance and Customer Service teams.

Hybrid role based in Ireland, offering cross-functional collaboration, ERP (Oracle R12) expertise and advanced analytics using Power BI, SQL and AI-enabled tools to improve service levels and working capital.

Qualifications

BS/BA in Business, Supply Chain, Operations, Engineering, Data Analytics preferred.
3 - 5 years of experience in production planning, master scheduling, supply planning, inventory management, or supply chain analytics.
APICS CPIM certification preferred; candidates without certification must be willing to obtain it within 18 months of employment.
Experience managing ERP planning systems, MRP processes, item master data, and inventory optimization initiatives.
Experience developing reporting, dashboards, and performance metrics using BI and analytics tools (Power BI, Tableau, SQL, Excel or equivalent).
Experience utilizing AI-enabled analytical tools and digital technologies to improve planning effectiveness and business decision-making preferred.
Proven experience driving service level improvements, inventory optimization, and cross-functional supply chain performance initiatives.

Responsibilities

Lead the demand-planning cycle and develop a rolling 12–18 month demand plan by product family, item, customer, and market as appropriate.
Collaborate with Commercial, Finance, Customer Service, and Supply teams to capture market intelligence, promotions, new-product activity, risks, and opportunities.
Analyse forecast accuracy, bias, demand volatility, backlog, and order trends; identify root causes and drive corrective actions.
Prepare demand scenarios and recommendations for the SIOP process, clearly communicating assumptions, gaps, and business impacts.
Develop and maintain inventory policies that balance service, availability, working capital, and operational risk.
Monitor inventory health, including turns, days on hand, excess and obsolete exposure, slow-moving stock, stock-outs, and safety-stock performance.
Review and maintain ERP planning parameters, including lead times, lot sizes, safety stocks, order policies, and planning time fences.
Coordinate cross-functional actions to reduce excess inventory, prevent shortages, improve material availability, and achieve inventory targets.
Create and maintain accurate dashboards and reporting for demand, forecast performance, inventory, service, backlog, and planning execution.
Analyse large and complex data sets to identify trends, exceptions, constraints, and improvement opportunities.
Convert analysis into clear insights, recommendations, and action plans for reviews.
Improve data quality, reporting efficiency, and planning processes through standardisation, automation, and continuous improvement.
Demonstrate AI-learning orientation by developing knowledge of emerging AI capabilities and identifying relevant applications in planning and analytics.
Use approved AI tools to streamline processes, automate repeatable analysis and reporting, and deliver productivity and quality improvements.