$67K - 77K a year
Develop predictive models, optimize supply chain processes through automation, conduct data analytics, and support project management to enhance supply chain efficiency.
Entry-level with a bachelor's degree in a related field, strong analytical skills, proficiency in data analysis and automation tools, and good communication and collaboration abilities.
Maintenance & Supply Chain Analyst - 640222 Pay: $32–37/hour DOE Work Schedule: Onsite Duration: 6 months Job Summary Join a dynamic Maintenance and Supply Chain team focused on delivering maximum value and maintaining a competitive advantage. The mission is to procure non-hydrocarbon goods and services at the lowest total cost of ownership, using best-in-class strategies built on safety, integrity, and strong partnerships with operations management. As a Supply Chain Analyst within the Optimization team, you will play a critical role in enhancing supply chain analytics capabilities. You'll develop predictive models, optimize processes through automation, and drive data-informed decision-making. Your work will directly support maintaining a competitive edge through actionable insights and strategic improvements. Minimum Qualifications • Bachelor’s degree in Engineering, Analytics and Data Science, Supply Chain Management, or a related field • Strong analytical and problem-solving skills with the ability to identify trends and derive insights from data • Demonstrates responsibility, time management, ownership, and accountability • Proficiency with data analysis and automation tools (e.g., Advanced Excel, SQL Queries, Power BI, Power Automate, Python) • Strong communication and collaboration skills across various stakeholder groups • Knowledge of supply chain processes and optimization methodologies (preferred, not required) Experience Required: 0 years (entry-level acceptable) Job Duties • Data Modeling: Write and execute SQL queries, build statistical and machine learning models in Python, and analyze data to identify savings opportunities. • Data Analytics: Conduct deep-dive analyses to support financial and operational decisions; collaborate with IT and other departments for insights. • Process Optimization: Travel to operational sites, work closely with field teams to identify inefficiencies, shadow crews, and support implementation of impactful improvements. • Automation: Develop RPA solutions using Power Automate and Azure, incorporating AI to streamline supply chain processes. • Visualizations & Reporting: Collaborate cross-functionally to establish KPIs and build Power BI dashboards that support strategic decision-making. • Project Management: Document requirements and milestones, uphold quality standards, and maintain contingency plans for successful project execution.
This job posting was last updated on 10/10/2025