Analytics & Strategy Intern: AI-Driven Dashboards (Hybrid)

JM; Denver (CO); Hybrid; USD 42,000 - 53,000; Full time

Benefits offered by this job

Health benefits

401(k) match

Paid vacation

Paid sick and parental leave

Tuition reimbursement

Job summary

Johns Manville (JM) is seeking a motivated intern for its Engineered Products business in Denver. You will partner with the EP Business President and leadership to analyze data, build dashboards, and support AI-enabled decision making in a global manufacturing setting.

The role requires pursuing an MBA or MS in Business Analytics, with a background in Engineering, Supply Chain, Economics, Finance, or Data Science.

Qualifications

• Pursuing an MBA or MS in Business Analytics; undergraduate degree in Engineering, Supply Chain, Economics, Finance, or Data Science.
• Strong Power BI/Tableau and Excel skills; ability to communicate insights confidently to senior executives.
• Local to Denver, CO; available for hybrid work in-office 3 days per week.

Responsibilities

• Develop and maintain dashboards and performance scorecards for the EP business.
• Support development of AI-based decision support tools and accelerate AI adoption across EP.
• Conduct data analysis to support business decisions and create actionable insights for leadership.
• Assist with strategic and operational projects as assigned.

Skills

Power BI

Tableau

Excel

AI applications

Analytical thinking

Communication of insights

Self-starter

Education

MBA or MS in Business Analytics (pursuing)

Undergraduate degree in Engineering, Supply Chain, Economics, Finance, or Data Science

Tools

Power BI

Tableau

Excel

Job description

Johns Manville (JM) is seeking a motivated intern for its Engineered Products business in Denver. You will partner with the EP Business President and leadership to analyze data, build dashboards, and support AI-enabled decision making in a global manufacturing setting.

The role requires pursuing an MBA or MS in Business Analytics, with a background in Engineering, Supply Chain, Economics, Finance, or Data Science.