financial analyst Customer Fulfilment

Enfint

Greater London

On-site

GBP 45,000 - 65,000

Full time

14 days+
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Job summary

Amazon ищет специалиста по аналитике финансовых данных для поддержки операционных руководителей через преобразование финансовых и операционных данных в инсайты для прогнозирования, планирования, решения проблем и принятия решений. Команда CFfinancе обеспечивает анализ на глобальной сети центров выполнения заказов и ведение бюджета.

Кандидат должен обладать степенью бакалавра или выше, свободно владеть английским языком, уметь строить финансовые модели, работать с данными и Excel на продвинутом

Qualifications

  • Степень бакалавра или выше.
  • Свободное владение английским языком (устно и письмом).
  • Опыт работы в налогах, финансах или аналитической роли; числовой подход к принятию решений.
  • Навыки работы с данными для поддержки бизнес-решений.
  • Продвинутые навыки Excel.
  • Желателен: степень в финансах/экономике, MBA; опыт прогностического планирования, анализа отклонений, SQL/Python/Tableau.

Responsibilities

  • Формирование отчетов и финансовых моделей для прогноза и планирования.
  • Анализ драйверов эффекта, выявление причин отклонений и предложение рекомендаций.
  • Владение повторяющейся финансовой и операционной отчетностью с точными комментариями.
  • Установление отношений с бизнес-партнерами и влияние на решения через данные и анализ.
  • Управление проектами по масштабированию процессов и усилению контроллинга.
  • Автоматизация процессов, снижение дефектов и упрощение deliverables.
  • Четкая коммуникация результатов финансовым и нефинансовым участникам, включая руководителей
  • Создание и поддержка инструментов, СОП и документации.
  • Поддержка обучения и развития коллег.
  • Работа самостоятельно и сотрудничество с коллегами по бизнесу; выезд на объекты для контекста.

Skills

Fluent English
Financial modeling
Data analysis
Advanced Excel

Education

Bachelor’s degree or above

Tools

SQL
Python
Tableau
MS Power Query

Job description

Описание

Amazon’s Customer Fulfilment Finance team supports operational leaders by turning financial and operational data into insights for forecasting, planning, problem-solving, and decision-making. Customer Fulfilment operates a global network of fulfilment centres handling millions of orders every day.

Задачи
  • Build reports and financial models for forecasting, planning, problem-solving, and strategic decisions
  • Analyze performance drivers, identify root causes of variances, and propose actionable recommendations
  • Own recurring financial and operational reporting, ensuring accuracy and providing timely commentary to stakeholders
  • Build relationships with business partners and influence decisions through narratives, data, and analysis
  • Challenge assumptions when the data indicates a different conclusion
  • Lead or contribute to projects that scale processes, strengthen controllership, or add value
  • Automate processes, reduce defects, and simplify deliverables
  • Communicate findings clearly and concisely to finance and non-finance partners, including senior leaders
  • Build and maintain tools, SOPs, and documentation
  • Share knowledge and support colleague onboarding and development
  • Work independently on analysis while partnering with colleagues across the business
  • Visit operational sites from time to time to support analysis with operational context
Требования
  • Bachelor’s degree or above
  • Fluent English in speaking, writing, and reading
  • Experience in tax, finance, a related analytical field, or a quantitative role such as engineering, process re-engineering, or quality assurance
  • Experience using data to drive business decisions
  • Advanced Excel proficiency
  • Experience building and managing financial models for forecasting and problem-solving
  • Nice to have: A degree in Finance, Mathematics, Economics, or another relevant field; a Master’s degree, MBA, or related discipline; experience in forecasting, budgeting, variance analysis, and interpreting financial results; experience with SQL, MS Power Query, Python, Tableau, or large-scale data mining and reporting tools; experience evaluating AI systems; experience troubleshooting and streamlining complex challenges; experience influencing senior stakeholders; experience communicating complex concepts to diverse audiences across functions; experience in large teams or fast-paced corporate environments.
Условия

Office-based role in London, England, United Kingdom.

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