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Revenue Insights Analyst (f/m/d)
Высокий балл обусловлен уникальными бонусами, такими как четырехдневная рабочая неделя (Flexi-Week) при полной оплате, и сильной корпоративной культурой. Позиция предлагает отличные возможности для профессионального роста в международной среде.
Сложность вакансии
Роль требует уверенного владения SQL и инструментами визуализации, а также более 3 лет опыта. Основная сложность заключается в необходимости не просто анализировать данные, но и переводить их в бизнес-стратегии для руководства.
Анализ зарплаты
Зарплата для аналитиков в Милане с опытом от 3 лет обычно находится в диапазоне 35,000–45,000 евро в год. Предложение Awin конкурентоспособно, особенно с учетом уникального бонуса в виде сокращенной рабочей недели, что повышает почасовую ставку.
Сопроводительное письмо
I am writing to express my strong interest in the Revenue Insights Analyst position at Awin. With over three years of experience in data analysis and business intelligence, I have a proven track record of transforming complex datasets into actionable strategic recommendations that drive revenue growth. My technical proficiency in SQL and Python, combined with my experience in creating compelling visualizations in Tableau, aligns perfectly with the requirements of your team.
I am particularly drawn to Awin's innovative approach to work-life balance, including the Flexi-Week initiative, and your commitment to building a diverse partner ecosystem. In my previous roles, I have successfully collaborated with cross-functional teams to optimize customer lifetime value and refine pricing strategies. I am eager to bring my analytical mindset and passion for data-driven decision-making to help Awin stay competitive in the dynamic affiliate marketing landscape.
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Откликнитесь в awin уже сейчас
Присоединяйтесь к Awin и развивайте свою карьеру в компании, которая ценит баланс между работой и личной жизнью, предлагая четырехдневную рабочую неделю!
Описание вакансии
Purpose of Position
As a Revenue Insights Analyst, you will play a pivotal role in driving our revenue by analysing complex data sets to uncover actionable insights and growth opportunities. Working closely with cross-functional teams, you’ll identify and communicate key revenue drivers, develop recommendations for optimisation, and support strategic initiatives with data-driven guidance. Your work will directly impact our business outcomes, helping us stay competitive and agile in a dynamic market.
Key Tasks
Data Analysis & Insights Development
- Conduct deep-dive analyses of revenue streams, customer behaviours, and market trends to identify key drivers of growth and potential areas of improvement.
- Use statistical and analytical techniques to build models that predict revenue trends and pinpoint growth opportunities.
- Regularly monitor and report on key revenue metrics, providing insights on variances and performance.
Strategic Planning & Revenue Optimisation
- Translate insights into actionable strategies that align with organisational goals, driving revenue growth across multiple channels.
- Identify, design, and recommend improvements to pricing, marketing, sales, and customer experience initiatives based on data findings.
- Collaborate with Sales, Marketing, and Product teams to develop data-backed strategies that target customer acquisition, retention, and lifetime value optimisation.
Reporting & Communication
- Create and present reports and dashboards that provide clear visibility into revenue performance and growth opportunities.
- Deliver insights and recommendations to stakeholders, making complex data accessible and actionable.
- Regularly update leadership on emerging trends, risks, and areas of opportunity for revenue optimisation.
Continuous Improvement & Innovation
- Stay up-to-date on industry best practices and data analysis techniques to refine our approach to revenue insights.
- Proactively identify and propose new data sources, tools, and methodologies to improve analytical accuracy and relevance.
- Work closely with data engineers and IT to ensure data quality and integrity.
Key Skills
- 3+ years of experience in a similar role, focusing on data analysis, business intelligence, or revenue optimisation.
- Proven ability to turn data insights into strategic recommendations that drive revenue growth.
- Excellent communication and presentation skills, with a knack for making data accessible to non-technical stakeholders
- Strong analytical skills with proficiency in data analysis tools like SQL, Python, R, or similar.
- Experience with data visualisation tools (e.g., Tableau, Power BI) to create compelling and actionable insights.
- Familiarity with CRM, financial forecasting, and business intelligence tools is a plus.
- Experience with the use of AI and / or Machine Leaning to optimise outcomes is a benefit.
- Bachelor’s degree in Business, Economics, Statistics, Data Science, or a related field (advantageous, non essential)
- Fluent / native-level (C1+) English language skills
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
- CRM
- Tableau
- Python
- Machine Learning
- SQL
- Data Visualization
- Business Intelligence
- Power BI
- R
- Financial Forecasting
Возможные вопросы на собеседовании
Проверка навыков приоритизации и понимания бизнес-метрик.
Какие ключевые показатели эффективности (KPI) вы бы анализировали в первую очередь для оценки здоровья потоков выручки в партнерском маркетинге?
Оценка технического стека и умения работать с данными.
Опишите случай, когда вы использовали SQL или Python для выявления скрытой закономерности в данных, которая привела к росту выручки.
Проверка навыков коммуникации с нетехническими специалистами.
Как вы объясните сложную статистическую модель или аномалию в данных стейкхолдеру, который не разбирается в аналитике?
Оценка опыта работы с прогнозированием.
Какие методы вы используете для прогнозирования выручки и как вы учитываете сезонность или рыночные изменения?
Проверка проактивности и инновационного подхода.
Как бы вы внедрили элементы машинного обучения для оптимизации процесса анализа доходов в нашей компании?
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