Aspen Consultant

TechDigital Group; Houston (TX); On-site; USD 70,000 - 110,000; Full time

Job summary

A technology solutions company in Houston is looking for a Scheduling Optimization Specialist to enhance production schedules using Aspen Unified Scheduling. The role involves collaborating with various teams, data analysis for scheduling accuracy, and continual process improvements. Candidates should have experience in technical integrations and data analysis methodologies.

Qualifications

• Experience with scheduling systems and data analysis.
• Ability to translate data into actionable insights.

Responsibilities

• Utilize Aspen Unified Scheduling to create and optimize production schedules.
• Work closely with production, supply chain, and IT teams.
• Analyze scheduling data to identify trends and provide insights.
• Continuously improve scheduling processes and methodologies.
• Prepare and present scheduling reports to senior management.
• Develop and maintain integrations with .NET applications and SQL.

Skills

Scheduling Optimization

Collaboration

Data Analysis

Process Improvement

Reporting

Stakeholder Communication

Tools

.NET

Azure

Azure Functions

SQL

Job description

Responsibilities

• Scheduling Optimization: Utilize Aspen Unified Scheduling to create and optimize production schedules based on operational data, market demands, and real-time information.
• Collaboration: Work closely with production, supply chain, and IT teams to gather input and align scheduling plans with business objectives.
• Data Analysis: Analyze scheduling data to identify trends, patterns, and anomalies. Provide insights and recommendations to improve scheduling accuracy andefficiency.
• Process Improvement: Continuously improve scheduling processes and methodologies to enhance efficiency and accuracy.
• Reporting: Prepare and present scheduling reports and analysis to senior management and stakeholders.
• Technical Integration: Develop and maintain integrations with .NET applications, Azure databases, Functions, and SQL queries to support scheduling and data analysis.