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Finance Operations Data Lead
Оценка ИИИсключительное предложение с четырехдневной рабочей неделей при сохранении полной оплаты. Компания Awin (часть Axel Springer) предлагает отличный соцпакет, удаленный формат работы и возможности для профессионального роста в современной технологической среде.
Сложность вакансии
Оценка ИИРоль требует редкого сочетания глубоких знаний бухгалтерского учета и продвинутых технических навыков (SQL, моделирование данных). Высокая ответственность за точность данных для финансовой отчетности и необходимость управления кросс-функциональными проектами повышают сложность.
Анализ зарплаты
Оценка ИИУказанная роль Lead-уровня в Лондоне обычно предполагает конкурентную оплату. Хотя точная сумма не указана, рыночные оценки для подобных позиций на стыке Finance и Data Engineering в Великобритании находятся в диапазоне £75,000–£95,000 в год. Программа Flexi-Week (4 рабочих дня) значительно повышает реальную стоимость часа работы по сравнению со средним рынком.
Сопроводительное письмо
I am writing to express my strong interest in the Finance Operations Data Lead position at Awin. With over 5 years of experience at the intersection of finance and data analytics, I have a proven track record of translating complex accounting requirements into robust data specifications and scalable pipelines. My expertise in SQL, BI tools, and ERP systems aligns perfectly with your need for a Product Owner who can bridge the gap between Accounting and Data Engineering.
I am particularly drawn to Awin's innovative approach to work-life balance, including the Flexi-Week initiative. Throughout my career, I have focused on automating manual data manipulation and improving the efficiency of month-end close processes. I am confident that my process improvement mindset and ability to structure complex financial data problems will allow me to drive significant value for your Finance Operations team and support Awin's vision of a transparent partner ecosystem.
Составьте идеальное письмо к вакансии с ИИ-агентом
Откликнитесь в awin уже сейчас
Присоединяйтесь к Awin и возглавьте трансформацию финансовых данных в компании с четырехдневной рабочей неделей!
Описание вакансии
Purpose of Position
| The Finance Operations Data Lead will lead the development of scalable financial data processes that support accounting operations. The role sits between Accounting, Data Engineering and Finance Systems, ensuring that operational data required for financial reporting is sourced, transformed and delivered accurately and efficiently. In addition, the role will support our accounting teams to be truly value-adding by developing and driving adoption of reporting & BI tools that improve accounting efficiency and financial process visibility. This role acts as the Product Owner for finance data processes, defining requirements, prioritizing development and ensuring accounting teams have the information needed to execute financial close and other processes effectively. |
Key Tasks
| Financial Data Process Ownership Own the end-to-end financial data flows supporting accounting processes Design scalable processes to source and transform data required for financial bookings Ensure accuracy, traceability and auditability of financial data inputs Cross-Functional Coordination Act as the primary interface between Accounting, Data Engineering and Finance Systems teams Translate accounting requirements into technical data specifications Prioritize and manage development of finance data pipelines Process Optimization Identify opportunities to automate and streamline accounting processes through improved data availability and structure Reduce manual data manipulation performed by accounting teams Improve the efficiency and reliability of month-end close processes Operational Financial Reporting Develop reporting to support accounting and operational finance processes such as: Credit control and collections, Working capital monitoring, Revenue operational reconciliation, Transaction-level financial controls Provide accountants with visibility into financial process drivers and anomalies Data Governance Ensure consistent definitions and governance for financial data used in accounting processes * Work with Finance Systems to maintain alignment between source systems and ERP structures |
Key Skills
| 5+ years experience in Finance, Data Analytics, or Finance Systems Experience working cross-functionally across finance and data teams Solid understanding of accounting processes (close cycle, revenue recognition, reconciliations, working capital) Ability to translate accounting requirements into data specifications Understanding of data pipelines and data modelling Strong SQL and data analysis capabilities Experience working with BI tools (Tableau, Power BI, etc.) Experience working with ERP systems and financial data structures Understanding of data pipelines and data modelling Experience managing cross-functional projects or acting as a product owner Strong process improvement mindset Ability to structure complex financial data problems Capable of communicating complex problems to all level of stakeholders Fluent / native-level English language skills (C1+) * Bachelor’s Degree in a Finance, Business or Analytics related field (not essential) |
Our Offer
- Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.
- Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
- Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
- Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development.
Established in 2000, Awin is proud of our dynamic, social and inclusive culture.
Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.
Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.
Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why
Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.
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Навыки
- Tableau
- ERP
- SQL
- Accounting
- Financial Reporting
- Data Analytics
- Power BI
- Data Modeling
- Data Pipelines
- Revenue Recognition
- Product Ownership
- Reconciliations
Возможные вопросы на собеседовании
Проверка способности кандидата выступать связующим звеном между техническими и финансовыми отделами.
Опишите случай, когда вам пришлось переводить сложные бухгалтерские требования на технический язык для команды инженеров данных. С какими трудностями вы столкнулись?
Оценка навыков оптимизации и понимания цикла закрытия месяца.
Какие конкретные шаги вы бы предприняли для автоматизации процесса сверки выручки на уровне транзакций?
Проверка владения инструментами анализа и визуализации.
Каков ваш опыт работы с SQL при построении витрин данных для финансовой отчетности? Какие BI-инструменты вы считаете наиболее эффективными для мониторинга оборотного капитала?
Роль подразумевает функции Product Owner для финансовых данных.
Как вы приоритизируете задачи по разработке пайплайнов данных, когда сталкиваетесь с конфликтующими запросами от отделов кредитного контроля и финансовой отчетности?
Оценка понимания архитектуры данных.
Как вы обеспечиваете согласованность данных между исходными операционными системами и ERP-структурой в условиях масштабирования бизнеса?
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