About DoorDash USA
Connecting food lovers with local restaurants
Key Highlights
- Public company (NYSE: DASH) with a major IPO in 2020
- Over 450,000 restaurant partners across the U.S. and Canada
- $2.5 billion raised in funding from top investors
- Headquartered in San Francisco, CA with 1001+ employees
DoorDash is a leading local food delivery platform headquartered in San Francisco, CA, connecting food lovers with over 450,000 restaurants across the U.S. and Canada. Since its IPO in 2020, which was one of the largest of the year, DoorDash has raised $2.5 billion in funding and now employs over 1,...
🎁 Benefits
DoorDash offers unlimited paid time off, flexible work-from-home opportunities, comprehensive health insurance, a work-from-home stipend, and company ...
🌟 Culture
DoorDash fosters a competitive culture focused on innovation and transparency, particularly in its fee structures for restaurants. The company emphasi...
Analytics Engineer • Mid-Level
Skills & Technologies
Overview
DoorDash is hiring an Analytics Engineer to build and scale data foundations that enable actionable insights across the company. You'll collaborate with data scientists and engineers, utilizing skills in SQL and Python. This role is essential for driving data-driven solutions in various business domains.
Job Description
Who you are
You have a strong background in analytics engineering, with experience in building data products that support decision-making across various business teams. You are proficient in SQL and Python, and you understand how to translate business needs into data requirements. You thrive in collaborative environments, working closely with data scientists, data engineers, and product managers to drive analytics initiatives. You are comfortable solving complex technical problems and are eager to contribute to the analytics stack that supports the company's operations.
Desirable
Experience with data visualization tools like Tableau or Looker is a plus, as is familiarity with cloud platforms such as AWS. You have a knack for identifying key business questions and generating insights through structured data solutions. You are detail-oriented and have a passion for data-driven decision-making, which aligns with DoorDash's mission to enhance operational efficiency.
What you'll do
In this role, you will lead the development of data products and self-serve tools that enable analytics to scale across the company. You will collaborate with cross-functional teams to understand their data needs and deliver trusted metrics that inform strategic decisions. Your responsibilities will include building and maintaining data pipelines, ensuring data quality, and developing analytics solutions that drive efficiency in operations. You will also play a key role in identifying business problems and generating insights that support various teams, including Product, Operations, and Finance.
What we offer
At DoorDash, you will be part of a dynamic team that values data as a critical asset for success. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will work in a collaborative environment where your contributions directly impact the company's ability to make data-driven decisions. Join us in shaping the future of logistics and delivery through innovative data solutions.
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