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Analytics Engineer (Data)

95 400 - 190 000$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Analytics Engineer (Data): Supporting the operations team by refining data, building models, and enabling self-service analytics with an accent on data integration and modeling. Focus on collaborating with business users and engineers to enhance customer understanding and experience.

Location: Remote across North and South America; candidates should operate in UTC-3 to UTC-8.

Salary: $95.4K–$190K annual base salary, plus equity and benefits.

Company

hirify.global provides open-source business intelligence and analytics tools that help companies measure, analyze, and share data.

What you will do

  • Refine data and build models that enable self-service analytics across the organization.
  • Organize datasets and perform complex transformations using SQL and Python.
  • Analyze data and answer questions about customers, onboarding, and community intelligence.
  • Support data ingestion, modeling, analysis, data science, and storytelling.
  • Collaborate with business users, designers, product managers, and engineers.
  • Teach colleagues to use data and analytics effectively.

Requirements

  • 5+ years of experience as an analytics engineer, data analyst, data scientist, data engineer, or in a similar role.
  • Strong data modeling or data integration skills.
  • Advanced SQL skills, including complex 100+ line queries or models, or strong Python skills, including 1,000+ lines of object-oriented scripts.
  • Ability to express business processes through models and charts.
  • Technical degree in computer science, computer engineering, mathematics, economics, or equivalent experience is preferred.
  • Availability to work within UTC-3 to UTC-8.

Nice to have

  • Experience with B2B SaaS, dbt, Postgres, Redshift, Fivetran, dlt, dimensional modeling, data engineering, data science, machine learning, or LLM/AI.

Culture & Benefits

  • Fully distributed, asynchronous, remote-first environment with flexible scheduling.
  • Meaningful equity and a comprehensive US benefits package.
  • Employer-covered medical, dental, and vision insurance, including 75% dependent coverage.
  • 401(k) with employer match available after the first 30 days.
  • Flexible and unlimited paid time off, including sick time.
  • Environment focused on autonomy, learning, growth, user needs, and long-term value.

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