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57 минут назад

Senior Data Analyst (AI)

85 200 - 145 200$
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

Текст:
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TL;DR
Senior Data Analyst (AI) (Cloud Data Platform): Turning platform data into trustworthy analysis, reusable metrics, dashboards, and technical documentation with an accent on SQL, data quality, self-service, and AI-assisted workflows. Focus on tracing data from source to consumption, defining consistent metrics, resolving data issues with engineering, and enabling teams to answer their own questions.

Location: Remote, Texas, United States; open only to US-based candidates authorized to work in the United States.

Salary: USD 85,200–145,200 per year, with potential performance-based bonus.

Company

hirify.global provides a cloud-native data platform for ingesting, governing, and serving data across the company.

What you will do

  • Deliver data analysis that supports stakeholder decisions, including scoping questions, querying data, modeling results, and presenting recommendations.
  • Develop deep knowledge of the platform’s data model and help consumers understand available data and how to use it.
  • Define, validate, and maintain consistent metrics and definitions across the platform.
  • Document data sources, schemas, metric definitions, query patterns, and reusable how-to guidance.
  • Build queries, dashboards, and guides that enable self-service while profiling sources and resolving data-quality issues with data engineering.
  • Use AI tools for analysis, SQL drafting, summarization, and documentation, and share effective practices with the team.

Requirements

  • 5+ years of experience in data analysis, business intelligence, or a similar role.
  • Strong SQL skills, including independently querying, joining, and modeling data in a cloud warehouse.
  • Hands-on understanding of modern cloud data architectures, data pipelines, schemas, and data tracing from source to consumption.
  • Strong technical writing skills for data dictionaries, metric definitions, runbooks, and how-to guides.
  • Ability to validate data, explain assumptions, and communicate findings to technical and non-technical audiences.
  • Must be based in the United States and authorized to work in the United States.

Nice to have

  • Real estate or proptech experience, including property, leasing, or real estate data.
  • Experience maintaining a data catalog, data dictionary, or metrics layer.
  • Experience supporting internal consumers of a shared data platform.
  • Familiarity with Python, dbt, version control, or documentation-as-code workflows.

Culture & Benefits

  • Health, dental, and vision insurance.
  • Retirement savings plan with company match.
  • Paid time off and holidays.
  • Professional development opportunities.
  • Potential performance-based bonus depending on the applicable plan and role.

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