1 день назад
Analytics Engineer, Data Science
117 500 - 172 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Engineer, Data Science (SQL/Python/Data Platforms): Building reliable data products, canonical datasets, and high-volume ETL/ELT pipelines that support analytics and decision-making across business teams with an accent on data quality, metric design, and self-serve reporting. Focus on designing scalable data foundations, tuning SQL performance, and creating trusted dashboards and datasets for cross-functional stakeholders.
Location: Austin, Chicago, New York, San Francisco, San Jose, Seattle, Los Angeles, or Washington, D.C., United States
Salary: $117,500–$172,800; $143,800–$211,500; or $174,400–$256,500 USD per year, depending on level and work location, plus potential equity grants.
Company
operates a technology platform and uses data products to support decision-making across product, operations, finance, and other business functions.
What you will do
- Translate business needs and questions into data requirements and structured analytical solutions.
- Build and scale data products and self-serve tools for analytics across the company.
- Develop and maintain canonical datasets and high-volume ETL/ELT pipelines using data lake and data warehousing concepts.
- Design metrics, reports, and visualizations with tools such as Tableau, Sigma, and Mode.
- Collaborate with data scientists, data engineers, software engineers, product managers, operators, and business stakeholders.
- Uphold data integrity, reusability, readability, and standardization.
Requirements
- Degree in mathematics, physics, statistics, economics, computer science, or a related field.
- 2–6+ years of experience in business intelligence, analytics engineering, data engineering, or a similar role.
- Strong SQL skills and proficiency in Python, Scala, or another functional/object-oriented language.
- Experience creating reporting and data visualization solutions with tools such as Looker, Tableau, Sigma, or Mode.
- Knowledge of database and data platform fundamentals, including S3, Trino, Hive, or Spark, plus SQL performance tuning.
- Experience writing data quality checks and strong communication skills for working with technical and non-technical teams.
Culture & Benefits
- Work across multiple analytics domains, including Consumer & Growth, Business Operations, Dasher & Logistics, Customer Experience & Integrity, Merchant, Ads & Promotions, and New Verticals.
- Comprehensive benefits for regular employees, including medical, dental, vision, disability, and basic life insurance.
- 401(k) plan with employer matching, paid parental leave, paid time off, and paid sick leave.
- Wellness, commuter, family-forming assistance, and mental health benefits.
- Flexible paid time off for salaried roles and 11 paid holidays.
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