People, Culture, & Workforce Analytics Intern

GE AppliancesLouisville, KY
Hybrid

About The Position

The People, Culture & Workforce Analytics Intern will support the People, Culture and Community Engagement team in developing innovative approaches to workplace culture, employee engagement, training and development, and workforce analytics. This academic-year internship provides a student with hands-on experience applying data analytics, digital technology and artificial intelligence tools to real-world human resources and business challenges. Working with the Senior Director of People, Culture and Community Engagement and cross-functional HR partners, the intern will learn how workforce data can be analyzed and translated into insights that help inform strategies related to workplace culture, employee engagement, talent development, employee acquisition and retention. The intern will have opportunities to work with HR data and digital tools, identify workforce trends, develop dashboards and reports, research emerging HR and AI practices, and contribute to projects designed to enhance the employee experience.

Requirements

  • Currently enrolled in a four-year degree program, preferably pursuing a degree in Data Analytics, Human Resources, Human Resource Development, Business, Organizational Leadership, Information Systems, Computer Science, or a related field.
  • Strong interest in the intersection of people, data, technology and organizational performance.
  • Demonstrated analytical and problem-solving skills.
  • Interest in artificial intelligence, emerging technology and digital innovation.
  • Strong written and verbal communication skills.
  • Ability to organize information and communicate findings clearly to different audiences.
  • Proficiency with Microsoft Office applications, particularly Excel and PowerPoint; experience with data visualization or analytical tools is a plus.
  • Ability and willingness to learn new digital platforms and technologies.
  • Strong organizational and time-management abilities.
  • Ability to work collaboratively across teams and manage multiple assignments.
  • Commitment to maintaining appropriate confidentiality when working with employee and workforce information.
  • Curiosity and a desire to learn how data, technology and human-centered strategies can create a stronger workplace and employee experience.

Responsibilities

  • Support the collection, organization and analysis of workforce data related to employee engagement, culture, retention, talent development, learning and other workforce trends.
  • Assist with identifying patterns and correlations within HR data that may help the organization better understand employee experiences and workforce outcomes.
  • Explore appropriate applications of predictive analytics to workforce questions, including retention, employee engagement, talent acquisition and participation in development opportunities.
  • Assist in developing dashboards, scorecards and data visualizations that translate workforce information into clear and actionable insights.
  • Support analysis of employee survey, participation and program data to help measure the effectiveness of training programs and workplace culture initiatives.
  • Learn appropriate standards for handling confidential workforce information and the importance of data privacy, responsible analytics and ethical use of employee data.
  • Research and test emerging artificial intelligence and digital tools that may improve HR processes, employee engagement, learning and development, communications, and workforce analytics.
  • Assist with identifying opportunities to responsibly incorporate AI into HR workflows.
  • Develop and document potential AI use cases, prompts, workflows and digital solutions for approved HR projects.
  • Support pilot projects that explore how AI can improve the organization, analysis and presentation of workforce information.
  • Research emerging trends and best practices in AI-enabled HR, people analytics and digital employee experiences.
  • Assist with evaluating AI-generated outputs for accuracy, usefulness, potential bias and alignment with appropriate company practices.
  • Support workplace culture and employee engagement initiatives designed to strengthen connection, belonging and the overall employee experience.
  • Analyze participation and engagement data from employee programs and initiatives to identify trends and opportunities.
  • Support projects involving Employee Resource Groups, employee listening, workplace culture programming and other People, Culture, and Community Engagement initiatives.
  • Assist with measuring program outcomes and developing recommendations based on employee feedback and quantitative and qualitative data.
  • Partner with HR and other business functions on projects designed to improve employee connection and engagement across workforce populations.
  • Support the research, development and evaluation of employee training and professional development initiatives.
  • Assist with analyzing training participation, completion, feedback and other data to identify learning trends and opportunities.
  • Research emerging approaches to digital learning, AI-enabled learning and personalized employee development.
  • Help develop digital resources, presentations and other materials supporting training and development programs.
  • Explore how workforce analytics can help identify skill gaps and inform future employee learning and development strategies.
  • Conduct research on emerging workplace, workforce analytics, talent and HR technology trends.
  • Assist with project planning, documentation, meeting preparation and follow-up for assigned projects.
  • Prepare presentations, summaries and data visualizations that communicate findings to HR and business leaders.
  • Translate complex data and research into concise, accessible business insights and recommendations.
  • Participate in meetings with HR professionals and cross-functional business partners to gain exposure to the application of people strategy within a large organization.

Benefits

  • Flexible work arrangement
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