eBay - People Analytics Intern, application via RippleMatch

As an eBay People Analytics Intern, your main responsibilities will include analyzing workforce data to unearth trends that influence HR strategies, collaborating with HR teams to provide actionable insights, and using data visualization tools to present complex findings in an understandable manner. Your work will directly support decision-making processes across the organization.

Candidates for the eBay People Analytics Intern role should be currently enrolled as students pursuing a degree in Data Science, Statistics, Psychology, or a related field, with a potential graduation date between December 2026 and Summer 2028. Familiarity with data analytics and visualization tools, excellent communication skills, and a strong curiosity about HR analytics are also essential.

During your time as an eBay People Analytics Intern, you will enhance your analytical skills, learn to translate data insights into actionable recommendations, and become proficient in using data visualization tools. You'll gain hands-on experience working with real-world data that impacts employee experience and drive business outcomes.

Collaboration is key in the eBay People Analytics Intern role. You'll work closely with HR teams and business leaders, translating complex analyses into recommendations. Effective collaboration ensures that data-driven insights are utilized broadly and help inform strategic decisions within eBay.

The expected pay range for the eBay People Analytics Intern position in California starts from approximately $2,480 to $3,600 bi-weekly. Factors such as location, skills, and experience can influence the final offer, ensuring it's competitive in the market.

When answering this question, focus on specific projects or coursework where you've analyzed HR data, using tools like Excel or visualization software. Mention how your analysis led to actionable insights that supported strategic HR initiatives.

Discuss your organizational skills and ability to manage time effectively. Emphasize techniques like creating a to-do list, setting deadlines, and regularly communicating with team members to ensure projects are completed on time.

Mention any relevant tools you've used, such as Tableau or Power BI, and provide examples of how you've effectively presented data findings to stakeholders, making complex information easy to understand.

Outline a systematic approach that includes gathering relevant data, identifying key metrics to analyze, and applying statistical methods to derive insights. Share an example if you have one, highlighting how you would present your findings to influence HR strategies.

Share a specific instance where teamwork was essential to overcoming a challenge. Describe your role in the group, and the collaborative efforts taken to analyze and solve the problem effectively, showcasing your communication and teamwork skills.

Discuss your passion for data and its impact on HR decision-making. Emphasize your admiration for eBay's innovative approach to ecommerce and how contributing to employee experience aligns with your career aspirations.

Stress the importance of maintaining data integrity and confidentiality. Discuss best practices you follow, such as adhering to data protection policies, using secure software platforms, and being diligent about sharing information only with authorized personnel.

Share your understanding of the importance of diversity in the workplace. Discuss potential metrics like hiring trends, retention rates, and promotion rates across different demographics, which could shed light on diversity initiatives’ effectiveness.

Provide an example that demonstrates your ability to simplify complex information. Highlight how you adjusted your communication style to ensure understanding while maintaining the integrity of the data.

Discuss various statistical methods you are familiar with, such as regression analysis, hypothesis testing, or descriptive statistics. Connect these methods to potential applications in the HR context, such as evaluating employee performance or satisfaction.