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1 день назад

Business Intelligence Analyst (SQL)

Тип работы
fulltime
Английский
b2
Страна
Indonesia
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
Business Intelligence Analyst (SQL): Analyzing complex datasets and building reusable querying, transformation, visualization, and reporting processes with an accent on advanced SQL, statistical analysis, and dashboard development. Focus on identifying business trends, presenting data-driven insights, and defining process improvements that drive business impact.

Location: Jakarta, Indonesia

Company

hirify.global operates a data-driven business requiring analytical support for fact-based decision-making and process improvement.

What you will do

  • Interpret data and analyze results using queries and statistical techniques.
  • Create reusable data querying, transformation, and visualization processes using Excel, SQL, BigQuery, Python, R, and other big data tools.
  • Develop analytical reports and visualize large, complex datasets in dashboards.
  • Present insights to support fact-based business decisions.
  • Identify and define business process improvement opportunities based on data.
  • Work with management to prioritize business and information needs.

Requirements

  • Bachelor’s or master’s degree in Information Systems, Computer Science, Mathematics, Statistics, or a related field.
  • Expert-level SQL skills and the ability to write advanced database queries.
  • Ability to identify key trends quickly and conduct in-depth data analysis.
  • Experience working with datasets containing millions of rows and creating complex visualizations in live dashboard environments.
  • Excellent written and verbal communication skills.
  • Ability to work effectively and deliver results under pressure.

Nice to have

  • Experience with Python, R, Java, or JavaScript.
  • Experience with Jupyter, Hive, or BigQuery ML.

Culture & Benefits

  • Full-time employment.
  • Work focused on data-driven decision-making and measurable business impact.

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