About the Team

At DoorDash, people are our most important asset. We're a data-driven organization, empowering local economies and our people to do the best work of their careers. The People Intelligence team helps our leaders make more informed decisions on identifying and attracting talent and supporting the development and retention of great employees. We're looking for a Senior Analyst to help us scale our workforce strategy and analytics alongside DoorDash's enormous growth. Come help shape an excellent People Intelligence team at DoorDash.

About the Role

DoorDash is looking for an experienced analyst to join our People Intelligence team. You will be responsible for enabling data-driven insights to develop our global workforce strategy. You will help drive and scale analytics initiatives across a range of business areas with a focus on company-wide workforce strategy, conducting research and building tools to help support our growing employee population and global presence. You will lead impactful projects working within a team of analysts and engineers to research and test new ideas, develop models and analytics tools, and drive recommendations for our leaders and decision-makers. You'll be an advisor, consultant, project manager, technology advocate, data scientist, engineer, and security/privacy advocate.

You will report into the People Analytics Manager on the Business Intelligence team within our People organization.

You’re excited about this opportunity because you will…

• Lead new analytics projects to build and improve the tools and use of data to inform people-related decisions for DoorDash
• Build new solutions and invent new approaches to big, ambiguous, critical problems
• Cultivate relationships with leaders across the company to understand people needs
• Build knowledge and insights through bespoke research on organizational design, location strategy, and talent pipeline and recruitment optimization
• Drive direct impact in critical areas, from workforce strategy to global people analytics
• Continue upskilling yourself and the team, keeping up with best practices and state-of-the-art technology

We’re excited about you because…

• You have 5+ years of experience in a data analyst, data scientist, business intelligence analyst, research analyst, or similar role
• You have a Master’s degree or higher in a quantitative discipline (statistics, economics, quantitative social science, or similar), or equivalent relevant experience
• You have strong knowledge of data modeling, econometrics, and forecasting techniques
• You are an expert in SQL and data manipulation, and have experience with data visualization and dashboard tools (e.g. Tableau, Sigma, or a similar tool)
• You have a solid understanding of statistical analysis (e.g. linear regressions, A/B testing), and familiarity with how to apply these methods to solve people analytics problems
• You have experience with programming for statistics and data analytics (e.g., Python, R)
• You have experience using GitHub or other version control software
• You have a track record of independently managing projects
• You have experience crafting written analyses and findings, as well as presenting to senior / executive audiences
• You are great at developing relationships with all partners, and working with all levels of an organization

 

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Compensation

The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions.  Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter