Salary
≈ $18k – $42k per year (Estimated)
Location
In office (Nitra)
Seniority
Junior · 2+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 26, 2026. JBT Marel scores B on the Alion truth index.
Overview
Company
Impact
Profile match
JBT Marel is a food and beverage processing technology company that combines John Bean Technologies with the Icelandic equipment maker Marel, which it acquired. It supplies processing lines, equipment, software and service for poultry, meat, seafood, fruit and juice, dairy, bakery and prepared food producers, with major production and engineering sites in the Netherlands, Iceland, Denmark, the United States and Brazil. It is listed on the New York Stock Exchange and Nasdaq Iceland. The company is headquartered in Chicago, Illinois, United States.
This role works closely with global sourcing, supply chain, plant operations, quality assurance, finance, and leadership teams to turn operational data into actionable insights that improve manufacturing performance and support strategic decision-making.
Responsibilities:
- Develop, maintain, and enhance analytical solutions using Microsoft Fabric, Power BI, and Databricks to support supply chain and operational performance.
- Build scalable data models, dimensional structures, and automated data pipelines that integrate information from enterprise systems and manufacturing environments.
- Support new acquisitions by mapping, validating, and standardizing operational and supply chain data during onboarding.
- Investigate data quality issues that affect production planning, scheduling accuracy, material availability, safety reporting, and quality management.
- Analyze performance data to reveal trends in equipment reliability, throughput efficiency, downtime, scrap, labor utilization, safety incidents, and customer delivery.
- Create dashboards and performance indicators covering production efficiency, labor productivity, inventory integrity, order fulfillment, supplier performance, and operational cost.
- Support continuous improvement efforts by identifying waste, inefficiencies, bottlenecks, and opportunities for automation or process redesign.
- Provide reporting that strengthens decisions related to demand alignment, capacity planning, scheduling, procurement optimization, and manufacturing stability.
Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, Supply Chain Management, Operations Management, Engineering, Finance, or a related field.
- A minimum of two years of hands-on experience with Power BI and Microsoft Fabric (preferred), including advanced data modeling and analytical development.
- Experience working with Databricks, data lakes, and large-scale data integration is strongly preferred.
- Understanding of operational and manufacturing processes, production planning, workflow efficiency, quality management, safety practices, and plant performance.
- Knowledge of supply chain principles, procurement, sourcing, inventory management, and total cost considerations.
- Experience working with enterprise resource planning systems; familiarity with systems such as SAP, Infor Syteline, or JD Edwards is beneficial.
- Proficiency in SQL, data modeling, transformation logic, and enterprise data architecture concepts.
Knowledge And Skills
- Strong analytical abilities with the capacity to interpret complex operational and supply chain information.
- Ability to identify root causes, diagnose operational inefficiencies, and recommend data-driven solutions.
- Effective communicator capable of working across technical and non-technical teams, including plant managers and senior leadership.
- Strong organizational and project management abilities with the capacity to support multiple initiatives across global sites.
What´s in it for you?
- 13th salary
- Home office
- Flexible working hours
- Contribution to Pension Funds
- Contribution to workforce regeneration
- Rich social program and company activities
Basic wage is from 2250 EUR + 13th salary. A higher salary may be agreed based on the candidate’s skills and experience.
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