Analytics Engineer
Description For Analytics Engineer
DoorDash is seeking an Analytics Engineer to join their Data Engineering team. This role is crucial in building and scaling data models, pipelines, and self-service analytics across the organization. The successful candidate will focus on developing a reliable aggregation layer and reporting structure to meet DoorDash's growing business needs, enabling teams to access and analyze data independently.
Key responsibilities include:
- Designing, developing, and maintaining robust data models
- Collaborating with various teams to understand and translate data requirements
- Implementing and optimizing ETL/ELT processes
- Defining and owning business KPIs and their measurement plans
- Building visually appealing, high-performing dashboards using tools like Tableau/Sigma
The ideal candidate should have:
- 3+ years of experience in business intelligence, data analytics, or data engineering
- Strong SQL skills and experience with data modeling techniques
- Proficiency in Python or Scala
- Experience with data lake/Snowflake ecosystems
- Excellent communication skills and ability to work in a fast-paced environment
DoorDash offers a comprehensive benefits package and is committed to fostering diversity and inclusion in the workplace. This is an excellent opportunity for a skilled Analytics Engineer to make a significant impact in a rapidly growing company that's revolutionizing the on-demand logistics industry.
Responsibilities For Analytics Engineer
- Design, develop, and maintain robust data models to support analytical and product data needs across the organization
- Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into scalable data solutions
- Implement and optimize ETL/ELT processes to ensure data quality, reliability, and performance
- Own and define business KPIs, their measurement plans, data requirements and reporting
- Build processes to ensure correct, timely and reliable reporting
- Address ad-hoc reporting requirements and find pathways for automation
- Build and enforce common design patterns to increase report reusability, readability and standardization
- Build visually appealing, high-performing, and impactful reporting/dashboard products using tools like Tableau/Sigma across large data sets
Requirements For Analytics Engineer
- 3+ years experience working in business intelligence, data analytics, Data engineering or a similar role
- Strong SQL skills and experience with data modeling techniques (e.g., dimensional modeling, 3 Nf, data vault)
- Proficiency in a programming language such as Python or Scala
- Experience building reporting and dashboarding solutions using data lake/Snowflake or similar ecosystem
- Expert in Database fundamentals, SQL and performance tuning
- Excellent communication skills and experience working with technical and non-technical teams
- Comfortable working in fast paced environment, self starter and self organizing
- Ability to think strategically, analyze and interpret market and consumer information
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