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1 день назад

Analytics Engineer, Data Science

117 500 - 172 800$
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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