Назад
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2 часа назад

Senior Analytics Engineer

135 000 - 225 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
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

Senior Analytics Engineer (Data Analytics): Building and maintaining robust data models and semantic layers to drive self-serve insights with an accent on dbt, Snowflake, and dimensional modeling. Focus on partnering with Finance and RevOps stakeholders to translate complex business questions into trustworthy data products and consistent metrics.

Location: Must be based in the United States

Salary: $135,000 - $225,000 USD per year

Company

hirify.global is a WebOps platform that enables organizations to manage, iterate, and scale WordPress and Drupal websites through collaborative workflows.

What you will do

  • Own the analytics modeling lifecycle for business domains like GTM or Post-Sales using dbt and Snowflake.
  • Develop and maintain the semantic layer to power BI platforms.
  • Partner with Finance, Sales, Marketing, and RevOps to translate business requirements into scalable data models.
  • Define and enforce consistent metric definitions and segmentation across the organization.
  • Build self-serve data products to empower business stakeholders.
  • Collaborate with the Data Platform team to validate data quality and specify new source requirements.

Requirements

  • Must be based in the United States
  • 6–8 years of experience in analytics or data engineering, with at least 4 years in analytics engineering.
  • Advanced SQL skills and hands-on experience with dbt or similar transformation frameworks.
  • Experience with cloud data warehouses, specifically Snowflake.
  • Proficiency in BI and semantic-layer modeling, ideally Looker or Omni.
  • Strong understanding of dimensional data modeling and star schema design.
  • Visa sponsorship is not available

Nice to have

  • Fluency in SaaS finance metrics like ARR, MRR, and NRR.
  • Experience with GTM/RevOps data (Salesforce) or CS data (Zendesk).
  • Familiarity with AI-driven analytics.
  • Experience with orchestration tools like Airflow or CI/CD for analytics code.

Culture & Benefits

  • Competitive compensation and equity plan.
  • Flexible time off, sick days, and 13 paid holidays.
  • Comprehensive medical, dental, and vision insurance.
  • Paid parental leave and family planning benefits.
  • Monthly wellness and reading allowance with access to LinkedIn Learning.

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