Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As an Analytics Engineer, you will play a key role in building and scaling data foundations for fast, reliable, and actionable insights. You will collaborate with partner teams to drive end-to-end analytics initiatives, working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators. This is a highly technical role where you will be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company.

Responsibilities

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
Act as a cross-functional champion in upholding high data integrity standards to increase reusability, readability, and standardization

Requirements

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

Skills

SQL
Python
Scala
Looker
Tableau
Sigma
S3
Trino
Hive
Spark
Pydeequ
Great Expectations

Experience Level

2-6+ years

Salary/Compensations

$117,500—$172,800 USD

Benefits

401(k) plan with employer matching
16 weeks of paid parental leave
Wellness benefits
Commuter benefits match
Paid time off
Paid sick leave
Medical benefits
Dental benefits
Vision benefits
11 paid holidays
Disability and basic life insurance
Family-forming assistance
Mental health program
Flexible paid time off/vacation for salaried roles
80 hours of paid sick time per year for salaried roles

About the Company

DoorDash is a technology and logistics company that started by enabling door-to-door delivery.
Our mission is to empower local economies.
We are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers.
We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Equal Opportunity

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives.
We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status.
Whether blatant or hidden, barriers to success have no place at DoorDash.
We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.