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2 месяца назад

Data Analyst (Python)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Canada
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 (Python): Analyzing non-financial post-event data and developing reports, visualizations, and scripts for data gathering and manipulation with an accent on pattern discovery, data quality, and actionable insights. Focus on collaborating with development teams to improve analysis tools, investigating potential issues, and supporting research into trading strategies.

Location: Montreal, Canada

Company

hirify.global is a diversified trading firm that combines sophisticated technology and trading expertise across global financial and non-traditional markets.

What you will do

  • Analyze non-financial post-event data to identify insights and potential issues.
  • Create reports and visualizations that present relevant information to stakeholders.
  • Collaborate with the development team to improve and create analysis tools.
  • Create issue tickets and follow up with the appropriate teams.
  • Participate in research related to trading strategies.
  • Develop scripts for data gathering and manipulation.

Requirements

  • At least 1 year of relevant experience.
  • Bachelor’s degree in economics, finance, commerce, information technology, computer science, or a related field.
  • Good knowledge of Python for data manipulation and visualization.
  • Strong attention to detail, data gathering, pattern recognition, and presentation skills.
  • Effective oral and written communication, strong organization, and the ability to prioritize multiple time-sensitive requests.
  • Willingness to work occasional off-hours when necessary and adapt to a fast-paced environment.

Culture & Benefits

  • Work in a fast-paced and demanding trading environment.
  • Operate with autonomy and the ability to adapt quickly to changing opportunities.
  • Collaborate across trading, development, and research teams.
  • Contribute to the use of AI in analytical work.

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