Global Economics Intern: Data, Policy & Market Insights

Parker Hannifin

Cleveland (OH)

Hybrid

USD 8,600 - 12,000

Full time

13 days ago

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Job summary

Parker Hannifin is seeking an Economics Spring Intern to join the Corporate Economics team within FP&A at their Cleveland headquarters. You will explore macroeconomic impacts on global supply chains and major end-markets, building econometric models and dashboards using Python, R, or Stata, and leveraging Bloomberg data to inform leadership decisions.

The internship spans 12 weeks, with on-site/hybrid flexibility and a focus on translating complex economics into actionable business insights for

Qualifications

  • Strong foundation in economic theory, statistics, and econometrics.
  • Experience conducting quantitative research with empirical datasets.
  • Proficiency in Excel; ability to create clear visuals and briefs.

Responsibilities

  • Track macroeconomic indicators across regions for actionable insights.
  • Conduct end-market research on aerospace, defense, energy, and related sectors.
  • Build econometric models using Python, R, or Stata and automate indicator tracking.
  • Utilize Bloomberg Anywhere to track market consensus and developments.
  • Evaluate how policy changes affect manufacturing and demand.
  • Create visuals and memos that translate econometrics for leaders.

Skills

Macroeconomics
Data analysis
Programming

Education

Undergraduate degree in Economics/Finance/Quantitative field

Tools

Bloomberg Terminal
Python
R
Stata
SQL

Job description

Parker Hannifin is seeking an Economics Spring Intern to join the Corporate Economics team within FP&A at their Cleveland headquarters. You will explore macroeconomic impacts on global supply chains and major end-markets, building econometric models and dashboards using Python, R, or Stata, and leveraging Bloomberg data to inform leadership decisions.

The internship spans 12 weeks, with on-site/hybrid flexibility and a focus on translating complex economics into actionable business insights for

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