Refinery Data Analyst

6 Month Contract with Excellent Benefits
Check below to see if you have what is needed for this opportunity, and if so, make an application asap.
Salary: $32 - $39 per hour
Based in the Houston area, we are seeking a Supply Chain Analyst for a 6 month contract to join our team in the Energy industry. We refine, transport and market motor fuels, lubricants, petrochemicals, and other industrial products. The successful candidate will work hand-in-hand with our team to optimize large complex data systems in our supply chain operations and contribute to our overall business strategy.
If you have 2 years of experience with SQL and Python as a Supply Chain Analyst, please apply below.
Minimal travel to refineries
Data Modeling: Develop and execute SQL queries, build statistical and ML models in Python, and analyze data to uncover key drivers of organizational savings.
Data Analytics: Perform deep-dive analyses to support financial and operational decisions, collaborating with IT and other departments for advanced data insights.
Travel to refinery and operational sites, partner with field teams to identify bottlenecks and inefficiencies, shadow crews, champion business change initiatives and drive successful implementation of improvements that deliver lasting impact.
Automation: Design RPA solutions using Power Automate and Azure, integrating AI to streamline supply chain tasks and empower teams to focus on efficiency and innovation.
Visualizations & Reporting: Team up with cross-functional partners to set goals and metrics, creating Power BI dashboards that provide actionable supply chain intelligence.
Project Management: Document project requirements and milestones, maintaining high standards of quality and robust contingency plans to support successful delivery
Bachelor’s degree in engineering, Analytics and Data Science, Supply Chain Management or related field
Strong analytical and problem-solving skills with the ability to identify trends and derive insights from data
Proficiency with data analysis and automation tools (Advanced Excel, SQL Queries, Power BI, Power Automate, Python, etc.)
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