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10 часов назад

Data Analyst (AI)

92 000 - 130 000$
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US/Ireland
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
Data Analyst (AI): Building scalable data models, data products, and AI-assisted analytics experiences for customer and internal data with an accent on SQL, workflow automation, and self-service analytics. Focus on transforming manual reporting workflows, experimenting with generative AI, and translating ambiguous stakeholder needs into production-grade analytical solutions.

Location: Hybrid, with three days per week onsite in the Framingham, Massachusetts office

Salary: $92,000–$130,000 base salary per year, plus eligibility for bonus or other variable compensation

Company

hirify.global provides cloud-based workplace applications that help global organizations connect company culture to shared purpose, recognition, and employee engagement.

What you will do

  • Analyze customer data and become an expert in current data delivery workflows.
  • Automate manual data requests and transform recurring analytical needs into scalable capabilities.
  • Build production-grade data models, data products, dashboards, and self-service analytics capabilities.
  • Develop and experiment with AI-assisted, conversational, and intelligent analytics experiences.
  • Translate ambiguous stakeholder and customer needs into scalable analytical solutions.
  • Collaborate with business stakeholders and technical teams on data-driven problem-solving.

Requirements

  • Proficiency in querying, analyzing, and visualizing large datasets using SQL and data visualization tools.
  • Experience building production-grade data models.
  • Strong analytical problem-solving skills and business intuition.
  • Hands-on use of generative AI to analyze data, write code, automate workflows, or build new capabilities.
  • Strong communication and project management skills with a collaborative approach.

Nice to have

  • Experience with dbt.
  • Exposure to AI coding tools, AI-assisted analytics, or conversational analytics.
  • Experience building or experimenting with AI-enabled tools, workflows, or projects.
  • Experience creating dashboards, data products, or self-service capabilities that changed how people access and use data.

Culture & Benefits

  • Opportunity to shape how analytics are delivered to internal stakeholders and customers.
  • Freedom to experiment with modern data and AI technologies.
  • Standard benefits package supporting employee well-being and work-life balance.
  • Inclusive and accessible application process.
  • Collaborative, innovative environment focused on respect, determination, innovation, and imagination.

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