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6 дней назад

Data Analyst (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Egypt
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Data Analyst (Fintech): Analyzing complex business datasets to extract actionable insights and monitor performance with an accent on SQL query optimization and automated reporting. Focus on building robust dashboards and collaborating with cross-functional teams to drive data-driven decision-making in the collections domain.

Location: Must be based in Egypt (Hybrid role)

Company

hirify.global is a leading fintech platform in the GCC region that reshapes the relationship with money by offering flexible payment solutions for shoppers and businesses.

What you will do

  • Perform deep analysis on business datasets to identify trends, patterns, and anomalies.
  • Write highly optimized SQL queries for data extraction and maintain data pipelines.
  • Build and maintain automated dashboards and reports using tools like Tableau, Power BI, or Looker.
  • Collaborate with data engineering teams to resolve data quality issues and ensure consistency.
  • Present actionable findings to both technical and non-technical stakeholders.

Requirements

  • Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Data Science, or a related field.
  • 2-4 years of professional experience in data analytics or business intelligence.
  • Advanced proficiency in SQL for data manipulation and reporting.
  • Must be located in Egypt as this is a hybrid role.
  • Strong analytical mindset and problem-solving skills.

Nice to have

  • Hands-on experience with Python or R for data analysis.
  • Previous experience with data visualization tools like Tableau, Power BI, or Looker.

Culture & Benefits

  • Opportunity to work with a fast-growing, high-rated fintech app.
  • Exposure to large-scale transactional data and high-impact business decisions.
  • Collaborative environment focused on growth and data-driven innovation.

Hiring process

  • Initial HR screening call.
  • Technical interview focusing on data analysis skills.
  • Final interview with the team.

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