Data Analytics Intern - Energy & Specialty Solutions (E&SS)

Summary

Ergon is seeking a Data Analytics Intern to support its Energy & Specialty Solutions business unit. The intern will develop reporting and visualization tools, analyze commercial, financial, supply chain, and operational performance, and communicate actionable insights to support business decision-making.

Responsibilities

• Assist in developing and maintaining intuitive, visually clean Power BI reports and dashboards
• Translate business questions and stakeholder requirements into useful metrics, visualizations, and reporting solutions
• Prepare and organize data using tools such as Power BI, Excel and approved E&SS data sources
• Support report testing, documentation, user feedback, and ongoing improvements
• Collaborate with stakeholders across business optimization, sales, marketing, finance, supply chain, operations, and planning
• Participate in discussions to understand business processes, reporting needs, and how analytics supports E&SS decisions
• Communicate findings through concise summaries, presentations, and dashboards tailored to the audience
• Follow established standards for report design, KPI definitions, data security, documentation, and quality
• Build familiarity with Power BI Service, Microsoft Fabric, shared workspaces, and other approved analytics tools
• Use structured development practices and, as appropriate, AI-enabled tools to improve productivity and solution quality
• Analyze business performance across areas such as sales, demand, inventory, supply chain, pricing, margins, and financial results
• Identify trends, variances, risks, and opportunities, and summarize findings in a clear, business-focused manner
• Perform data validation and quality checks to improve the accuracy and reliability of reporting

Skills

• Currently enrolled at Mississippi State University and eligible to participate in the Workforce Scholars Initiative
• Pursuing a degree in Data Analytics, Business Analytics, Information Systems, Finance, Accounting, Engineering, Computer Science, Supply Chain, or a related field
• Foundational understanding of data analysis and visualization
• Strong analytical, problem-solving, communication, and organizational skills
• Attention to detail, intellectual curiosity, and willingness to learn new technologies and business concepts
• Ability to work independently in a remote environment while collaborating effectively and applying feedback
• Availability to work 15-20 hours per week during the Spring 2027 semester
• Coursework, personal projects, or internship experience using Power BI or another data-visualization tool
• Strong Excel skills; exposure to Power Query, SQL, Python, DAX, relational databases, or Microsoft Fabric is helpful but not required
• Interest in commercial analytics, financial analysis, supply-chain planning, energy, refining, manufacturing, or specialty products
• Ability to turn analysis into a clear story for business users and decision-makers
• Interest in AI tools to support analysis, automation, and solution development

Qualifications

Must Haves

• Currently enrolled at Mississippi State University and eligible to participate in the Workforce Scholars Initiative
• Pursuing a degree in Data Analytics, Business Analytics, Information Systems, Finance, Accounting, Engineering, Computer Science, Supply Chain, or a related field
• Foundational understanding of data analysis and visualization
• Strong analytical, problem-solving, communication, and organizational skills
• Attention to detail, intellectual curiosity, and willingness to learn new technologies and business concepts
• Ability to work independently in a remote environment while collaborating effectively and applying feedback
• Availability to work 15-20 hours per week during the Spring 2027 semester

Nice to Haves

• Coursework, personal projects, or internship experience using Power BI or another data-visualization tool
• Strong Excel skills; exposure to Power Query, SQL, Python, DAX, relational databases, or Microsoft Fabric is helpful but not required
• Interest in commercial analytics, financial analysis, supply-chain planning, energy, refining, manufacturing, or specialty products
• Ability to turn analysis into a clear story for business users and decision-makers
• Interest in AI tools to support analysis, automation, and solution development

Benefits

• The student will work remotely through the program while supporting the E&SS team, with a weekly schedule coordinated around coursework.
• Hands-on experience in supply chain and logistics
• Exposure to real-world operational data and process improvement initiatives
• Opportunity to collaborate with operations, maintenance, and engineering teams
• Development of analytical, technical, and professional skills
• Practical experience supporting continuous improvement and capital projects