The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights.
Requirements
- Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
- Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
- Lead the development of data products and self-serve tools that enable analytics to scale across the company
- Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
- Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
- Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization
Benefits
- 401(k) plan with employer matching
- 16 weeks of paid parental leave
- Wellness benefits
- Commuter benefits match
- Paid time off
- Paid sick leave in compliance with applicable laws
- Medical, dental, and vision benefits
- 11 paid holidays
- Disability and basic life insurance
- Family-forming assistance
- Mental health program
To apply for this job please visit job-boards.greenhouse.io.
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