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8 месяцев назад

Data Analyst (Contract)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle
Английский
b2
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 (Contract): Supporting Product, Sales, and Marketing teams with actionable insights and robust data infrastructure with an accent on enhancing decision-making through data integration and analytics capabilities. Focus on building scalable data solutions and conducting deep-dive analyses to inform business strategy.

Company

hirify.global is a no-code software company empowering businesses and individuals to build powerful apps and internal tools without writing code.

What you will do

  • Partner with Product, Sales, and Marketing teams to provide insights and build reports using internal and external data sources.
  • Design, develop, and maintain KPI dashboards and exploratory analysis in Hex.
  • Conduct deep-dive analyses and develop data-backed recommendations for business strategy.
  • Integrate new data sources to enrich the data ecosystem.
  • Build and maintain data pipelines in dbt and Python.
  • Leverage Google BigQuery for advanced data analysis and optimization.

Requirements

  • 3+ years of experience in a Data Analyst, Data Engineer, or Analytics Engineer role.
  • Strong proficiency with BigQuery and SQL.
  • Hands-on experience with dbt for modeling and transformation workflows.
  • Proficiency in Python for data manipulation and pipeline development.
  • Experience with Hex or similar BI tools.
  • Strong business acumen and communication skills.

Nice to have

  • Experience integrating external data sources into internal data warehouses.
  • Background in SaaS, no-code, or startup environments.
  • Familiarity with data governance and scalable analytics infrastructure.

Culture & Benefits

  • Contract-to-hire opportunity with potential for full-time employment.
  • Collaborative and mission-driven team.
  • Flexible remote work environment.
  • Opportunity to shape and scale data operations.

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