Назад
Company hidden
1 день назад

Senior Data Analyst (E-commerce)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UAE
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Senior Data Analyst (E-commerce): Building analytics, reporting, and predictive modeling solutions for a large online classified platform with an accent on SQL-based data preparation, BI dashboards, KPI definition, and data quality. Focus on designing experiments, validating reference data, developing models, and translating complex datasets into actionable business recommendations.

Location: On-site in Dubai, United Arab Emirates

Company

hirify.global and dubizzle are homegrown UAE online classified platforms within Dubizzle Group, connecting millions of users across the country.

What you will do

  • Access, construct, and manipulate large datasets using SQL, Python, and similar tools.
  • Design and maintain BI dashboards and reporting solutions for finance, sales, inventory, product, and other organisational metrics.
  • Define KPIs, standardise data governance, validate reference data, and manage data quality, reconciliation, and exceptions.
  • Conduct full-lifecycle analysis, develop predictive and optimisation models, and design and interpret experiments.
  • Analyse and implement interfaces, workflows, reference data solutions, and regression testing ahead of system upgrades.
  • Prepare management documentation and presentations, maintain analytics documentation, and deliver data analytics and reporting training.

Requirements

  • Bachelor’s degree in statistics, mathematics, computer science, or a related field; a master’s degree is a plus.
  • 6+ years of analytics experience, including close collaboration with product and commercial teams in an internet or e-commerce company.
  • Experience building, implementing, or maintaining predictive models on very large datasets.
  • Proficiency in SQL, Microsoft Excel, and statistical analysis; experience with Python, R, SPSS, SAS, or similar tools is beneficial.
  • Strong analytical, storytelling, communication, business acumen, and problem-solving skills with close attention to data accuracy.
  • Written and verbal proficiency in English is required.

Culture & Benefits

  • Fast-paced, high-performing, multicultural environment with more than 60 nationalities.
  • Competitive tax-free salary.
  • Comprehensive health insurance.
  • Annual air ticket allowance.
  • Employee discounts, rewards and recognition, and learning and development opportunities.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →