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Staff Analytics Engineer

183 000 - 225 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Analytics Engineer (AI): Architecting and leading the analytics foundation powering data ecosystem and data products with an accent on data architecture, analytics engineering, and practical machine learning applications. Focus on customer-facing reporting, dashboards, and analytics features, machine learning solutions for recommendations, forecasting, anomaly detection, and predictive insights that enhance product intelligence.

Location: Remote - USA

Salary: $183,000 - $225,000 per year

Company

hirify.global provides the first and only client experience platform for appointment-based, self-care businesses.

What you will do

  • Design, build, and maintain foundational data models that serve as the single source of truth for analytics.
  • Partner with Product, Engineering, and Analytics teams to scope and deliver new initiatives and create data-driven customer experiences.
  • Develop frameworks, tools, and workflows that enhance efficiency and scalability, ensuring high standards of data quality, consistency, and performance.
  • Translate business requirements into scalable data models, dashboards, and analytical tools; identify opportunities for anomaly detection, predictive analytics, and AI-driven innovation.
  • Lead complex data initiatives by transforming ambiguous business needs into scalable architectures, pipelines, and analytical models.

Requirements

  • Bachelor’s degree or higher in Computer Science, Information Technology, Data Science, or a related discipline
  • 8+ years of professional experience in the data domain — including roles such as Analytics Engineer, Data Engineer, Data Scientist, or similar
  • Proven track record of delivering customer-facing reporting, dashboards, and analytics capabilities in partnership with Product teams
  • Deep expertise with modern data stack technologies such as dbt, Snowflake, SQL, Python, and Looker/Omni
  • Strong understanding of modular and reusable data modeling best practices (e.g., star and snowflake schema design)
  • Comprehensive knowledge of data governance, data quality frameworks, and analytics/security best practices

Culture & Benefits

  • 401(k) match plus dental, medical, vision, and life insurance.
  • Flexible vacation day policy.
  • Fully remote with a work from home stipend every month.
  • Family planning resources and specialized support programs.
  • Equity participation.

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