Business Intelligence Analyst, People Analytics

As a Business Intelligence Analyst at DoorDash, you'll lead analytics projects that enhance our decision-making capabilities regarding people management. Your core responsibilities will include building tools for data visualization, developing insights to attract and retain talent, and managing relationships with stakeholders across the organization. You'll play a critical role in supporting our high-volume hiring efforts through innovative data solutions.

To qualify for the Business Intelligence Analyst position at DoorDash, you should have at least 3 years of experience in a related field, such as data analysis or business intelligence. A Bachelor's degree in a quantitative discipline is preferred, although equivalent experience is also valuable. Proficiency in SQL, statistical analysis, and data visualization tools like Tableau is essential to succeed in this role.

A Business Intelligence Analyst at DoorDash will directly influence recruiting by providing data-driven insights that help identify talent needs. This role will analyze trends and patterns in hiring, improve metrics management, and support the development of strategies that attract and retain top talent in the highly competitive market.

In your role as a Business Intelligence Analyst at DoorDash, you will primarily use SQL for data manipulation, alongside visualization tools like Tableau or Sigma to present your findings. Familiarity with programming languages such as Python or R, as well as experience with GitHub can enhance your data analytics capabilities and project management skills.

DoorDash is committed to the ongoing development of its employees. As a Business Intelligence Analyst in the People Analytics team, you'll have opportunities to lead significant projects, innovate solutions, and continuously upskill through training and professional development initiatives, enabling you to grow within the organization.

Certainly! When answering this question, highlight specific projects where you utilized tools like Tableau or Sigma. Explain how you approached data visualization, the insights you derived, and how those insights impacted decision-making in previous roles.

In answering this question, outline the steps you take: first, understanding the business goals, then gathering the necessary data, followed by analysis, and finally developing actionable insights. Don’t forget to mention any techniques you use for stakeholder engagement throughout the project.

Be prepared to discuss specific techniques such as linear regression, correlation analysis, or A/B testing. Share examples of how you've applied these methods to solve real-world problems, particularly in a workplace or HR context.

Explain your prioritization strategy, whether it's based on project impact, deadlines, or stakeholder needs. Discuss your organizational skills and any tools you use to manage your tasks effectively, ensuring that you can deliver results even under pressure.

Share a specific project where SQL was integral. Outline what data you needed, how you wrote queries to extract it, and what insights you generated from that data that benefitted your business unit or organization.

Stress the importance of verification processes and methodologies you employ to ensure your data is clean and reliable. Discuss any tools or practices you use such as data validation techniques or collaboration with cross-functional teams to maintain high data quality.

Use the STAR method to structure your answer: describe the Situation, Task, Action, and Result. Focus on how you broke down complex data insights into accessible language and how the audience’s understanding benefitted from your explanation.

Emphasize collaboration as key in achieving analytics goals. Discuss your experience working with cross-functional teams and how sharing insights can lead to better decision-making and business outcomes.

Convey your passion for using data to influence both hiring and employee development. Link your values with DoorDash's mission of empowering local economies and the importance of effective workforce management in achieving that goal.

Discuss emerging trends such as AI in recruitment, the importance of employee experience data, or the growing need for diversity metrics. Offer insights on how you envision using these trends to improve analytics at DoorDash.