Analytics Engineer, Data Science

3 weeks, 2 days ago
Full-time
Mid Level
Data Science and Analytics
DoorDash

DoorDash

DoorDash empowers small business owners by providing an affordable and convenient platform for local delivery services, primarily focusing on restaurant food delivery.

Air Freight & Logistics
10K-50K
Founded 2012

Description

  • Collaborate with data scientists, data engineers, and business stakeholders to translate business needs into data requirements.
  • Identify key business questions and develop structured analytical solutions that generate actionable insights.
  • Lead the development of data products and self-serve tools that scale analytics across the company.
  • Build and maintain canonical datasets using high-volume, reliable ETL/ELT pipelines.
  • Design metrics and data visualizations using dashboarding tools such as Tableau, Sigma, and Mode.
  • Champion data integrity standards to improve reusability, readability, and standardization.
  • Work closely with partner teams across multiple functions to drive end-to-end analytics initiatives.
  • Deliver trusted data and metrics that support company-wide decision-making.

Requirements

  • 2-6+ years of experience in business intelligence, analytics engineering, data engineering, or a similar role.
  • Strong proficiency in SQL for data transformation.
  • Comfort with at least one functional or object-oriented language such as Python or Scala.
  • Experience creating reporting and data visualization solutions using dashboarding tools such as Looker, Tableau, or Sigma.
  • Familiarity with database and data platform fundamentals such as S3, Trino, Hive, and Spark.
  • Experience with SQL performance tuning.
  • Experience writing data quality checks to validate data integrity, such as with Pydeequ or Great Expectations.
  • Strong communication skills and experience working with both technical and non-technical teams.
  • Comfort working in a fast-paced environment and ability to self-start and self-organize.
  • Ability to think strategically and analyze and interpret market and consumer information.

Benefits

  • Base salary range of $117,500 to $172,800 USD.
  • Opportunities for equity grants.
  • 401(k) plan with employer matching.
  • 16 weeks of paid parental leave.
  • Medical, dental, and vision benefits.
  • 11 paid holidays.
  • Disability and basic life insurance.
  • Wellness benefits, including commuter benefits match and wellness expense reimbursement.
  • Flexible paid time off/vacation for salaried roles, plus 80 hours of paid sick time per year.
  • Paid sick time and vacation accrual for hourly roles.
  • Family-forming assistance and a mental health program.

Interested in this position?

Apply directly on the company website

Apply Now

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