People Data & Analytics Intern: Build Dashboards & Insights

Wayne State University

Cincinnati (OH)

Hybrid

USD 20,664 - 34,440

Full time

14 days+
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Benefits offered by this job

Real-world data experience
Mentorship from professionals
Opportunities for presentations

Job summary

Wayne State University is seeking a People Data & Analytics Intern to join their team in Cincinnati, Ohio. This role involves analyzing HR data, creating dashboards, and streamlining reporting processes. The ideal candidate is a rising senior pursuing a degree in analytics or related fields, equipped with Excel and Power BI skills. This internship offers practical experience, exposure to HR technology, and opportunities for mentorship. Applicants must be local and able to work in the office at least two days a week.

Qualifications

  • Rising senior with a focus on Data Analytics, Business Analytics, or similar.
  • Excited by data and automation, with a knack for making insights understandable.
  • Strong communication skills to translate data into narratives.

Responsibilities

  • Explore and analyze HR and people-data sets across multiple platforms.
  • Create dashboards and visualizations for talent planning.
  • Streamline and automate recurring HR reporting processes.
  • Collaborate with stakeholders to understand their data needs.

Skills

Data Analytics
Business Analytics
Information Systems
Statistics
Excel
Power BI
Communication

Education

Pursuing a degree in relevant fields

Tools

Excel
Power BI

Job description

Wayne State University is seeking a People Data & Analytics Intern to join their team in Cincinnati, Ohio. This role involves analyzing HR data, creating dashboards, and streamlining reporting processes. The ideal candidate is a rising senior pursuing a degree in analytics or related fields, equipped with Excel and Power BI skills. This internship offers practical experience, exposure to HR technology, and opportunities for mentorship. Applicants must be local and able to work in the office at least two days a week.
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