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Finance Operations Data Analyst (f/m/d)
Исключительное предложение благодаря 4-дневной рабочей неделе при полной оплате (Flexi-Week) и удаленному формату. Компания Awin известна своей инклюзивной культурой и отличными возможностями для обучения через Awin Academy.
Сложность вакансии
Роль требует уникального сочетания навыков: глубокого понимания бухгалтерских процессов и продвинутого владения SQL/BI инструментами. Кандидату необходимо уметь переводить сложные финансовые требования на технический язык данных.
Анализ зарплаты
Указанная роль соответствует рыночному уровню для специалистов среднего звена (Middle) в Амстердаме и Берлине. Учитывая уникальный бонус в виде 4-дневной рабочей недели, совокупная ценность предложения выше среднерыночной.
Сопроводительное письмо
I am writing to express my strong interest in the Finance Operations Data Analyst position at Awin. With over two years of experience bridging the gap between financial accounting and data analytics, I have developed a robust skill set in SQL and BI tools that allows me to transform complex datasets into actionable financial insights. My background in optimizing reconciliation processes and building scalable data transformations aligns perfectly with your goal of improving accounting efficiency.
What particularly excites me about Awin is your progressive approach to work-life balance, notably the Flexi-Week initiative. I am eager to bring my analytical mindset and detail-oriented approach to your Finance Systems team, helping to ensure high data accuracy and streamlined reporting for credit control and working capital monitoring. I look forward to the possibility of contributing to your dynamic and inclusive culture.
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Откликнитесь в awin уже сейчас
Присоединяйтесь к Awin и станьте частью команды, которая внедряет инновации в финансовые процессы, работая всего 4 дня в неделю!
Описание вакансии
Purpose of Position
The Finance Operations Data Analyst supports the delivery and optimization of financial data processes used by accounting teams. The role focuses on analysing operational financial data, building data transformations and developing reporting that improves accounting efficiency and financial process visibility.
Key Tasks
Financial Data Preparation
- Source and prepare financial data required for accounting processes
- Build and maintain SQL queries and data transformations supporting financial bookings
- Validate and reconcile data delivered to accounting teams Accounting
Process Support
- Work closely with accountants to understand their data needs and process challenges
- Support the delivery of datasets required for financial postings and reconciliations
- Assist in improving data availability and structure for accounting processes
Operational Financial Reporting
- Develop reporting that supports financial operations, including: Credit control reporting, Accounts receivable and collections tracking, Working capital monitoring, Operational revenue reporting, Transaction-level financial insights
Data Quality & Controls
- Monitor data quality in financial datasets
- Identify discrepancies between operational systems and finance data
- Support the development of controls around financial data pipelines
Collaboration
- Work with Data Engineering to implement scalable data pipelines
- Support Finance Systems teams in aligning data structures with accounting requirements
Key Skills
- 2+ years experience in Finance, Data Analytics, or Finance Systems
- Solid understanding of accounting processes (close cycle, revenue recognition, reconciliations, working capital)
- Ability to translate accounting requirements into data specifications
- Strong SQL and data analysis capabilities
- Experience working with BI tools (Tableau, Power BI, etc.)
- Strong analytical mindset
- Detail oriented with high data accuracy standards
- Ability to work across technical and finance stakeholders
- Bachelor’s Degree in a Finance, Business or Analytics related field
- Fluent English
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
- Data Analysis
- Tableau
- SQL
- Accounting
- Financial Reporting
- Power BI
- Data Transformation
- Data Quality Control
Возможные вопросы на собеседовании
Проверка способности кандидата работать с данными в контексте бухгалтерского учета.
Можете ли вы описать случай, когда вы использовали SQL для автоматизации процесса сверки (reconciliation) или закрытия периода?
Оценка понимания специфики финансовых данных и их отличия от обычных операционных данных.
Как вы обеспечиваете точность и целостность данных при переносе информации из операционных систем в финансовую отчетность?
Проверка навыков взаимодействия с разными стейкхолдерами.
Как вы подходите к сбору требований от бухгалтеров, которые могут не обладать глубокими техническими знаниями в области данных?
Оценка опыта работы с инструментами визуализации.
Какие ключевые показатели эффективности (KPI) вы бы включили в дашборд для мониторинга оборотного капитала (working capital)?
Проверка знаний в области финансового контроля.
С какими типичными проблемами качества данных вы сталкивались в финансовых пайплайнах и как вы их решали?
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