Commodity Markets Analyst

About Us:

DJJ a division of Nucor Corporation is seeking applicants for our Commodity Market position. DJJ is a world leader in scrap metal recycling trading and transportation. We have relationships with scrap metal businesses around the world. Founded in 1885 we pride ourselves on our dedication to safety and the principles of integrity and respect. Were recognized as a good community citizen who is trustworthy financially strong and environmentally proactive. Our parent company Nucor Corporation is a Fortune 150 company known for being North Americas leader in designing manufacturing and recycling steel and steel products with a history of long-term sustainability and stability. Fortune Magazine recently ranked Nucor No. 1 on their list of the Worlds Most Admired Companies in our industry.

Benefits:

Medical vision and dental are just the beginning. We value our teammates and offer benefits packages that also include:

• Bonus Program Profit Sharing Stock Plan
• 401k Company Match
• Credit Union
• Vacation and Holiday Pay
• Scholarship and Tuition Reimbursement
• Unlimited Growth Potential
• Free Financial Planning / Assistance via Insight Financial
• Free Teammate Parking (Cincinnati Office)
• On-site Health Clinic (Cincinnati Office)
• On-site Cafeteria (Cincinnati Office)
• On-site Gym (Cincinnati Office)
• On-site Laundry Service (Cincinnati Office)

For more information on our benefits please go to: Job Functions:

Immigration or work visa sponsorship will not be provided for this position

We are seeking a skilled analyst for our Commodity Market team. This person will play a key role in using external market and macro data as well as internal transaction data to drive modeling and forecasts that support commercial decision making. Also leveraging modern cloud data platforms and AI/ML tools to scale and sharpen our analytical capabilities.

Key Responsibilities

• Data Gathering Management and Analysis
• Compile and maintain financial economic steel scrap industry data and competitor information through in-person phone and email interactions
• Analyze this data using technical tools such as Excel Project R Power BI and Databricks (PySpark / SQL notebooks) for scalable data processing and modeling
• Provide scrap and steel industry financial and economic analysis based on internal and external information sources
• Create both recurring and ad hoc analysis for internal and external customers presentations business analysis mergers and acquisitions and strategic projects
• Forecasting of scrap prices steel production and shipments and market volatilityapplying time-series regression and AI/ML methods to improve accuracy
• Prepare presentations covering industry specific and macro-economic data for internal and external customers distill the data into a professional polished delivery product with actionable information using the most appropriate methodology
• Work with IT to develop and enhance reporting services to provide quality data for analysis
• Develop internal and external industry contacts to maintain steel scrap and competitor databases
• Apply emerging AI/ML tools and techniques to accelerate analysis surface insights from large internal and external datasets and develop new predictive analytics products for the commercial team

Safety is the most important part of all jobs within Nucor; therefore candidates must be able to demonstrate the ability to initiate lead and uphold safety policies practices procedures and housekeeping standards at all times.

Minimum Qualifications:

• Bachelors degree in a relevant field (Finance Accounting Data Analytics Statistics Engineering or related)
• 4-6 years of relevant business experience in a professional environment
  • Ideally prior experience as a Financial Analyst and or Data Analyst
• At least 2 years experience in data / financial analysis data management and reporting
• Advanced Excel capabilities including complex formulas macros and pivot tables
• Problem-solving and critical thinking abilities with demonstrated experience connecting business needs to technical solutions
• Beginner to intermediate user of Project R Python
• Intermediate user of Power BI and DAX
• Working knowledge of or experience with statistical analysis
• Familiarity with at least one cloud data platforms (e.g. Databricks Snowflake) and core AI/ML and forecasting concepts; comfort using AI tools (e.g. Microsoft Copilot ChatGPT Claude) to accelerate everyday analyst work
• Excellent communication skills and a collaborative mindset

Preferred Qualifications:

• MBA
• Experience in the financial steel or scrap metal industry
• Excellent oral and written communication skills with the ability to effectively interact with all levels within the Enterprise
• Minor in economics statistics or mathematics a plus
• Hands-on experience with Databricks for model development and reproducible analysis
• Experience building or deploying time-series forecasting models (e.g. ARIMA exponential smoothing Prophet gradient-boosted methods neural-network approaches) in a commercial or industrial setting

Our Commitment to a Drug-Free Workplace: