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Product Analyst, GTM
Отличная вакансия в социально значимом продукте с сильной инженерной культурой. Предлагаются опционы, удаленная работа и расширенный соцпакет, включая помощь с обустройством дома.
Сложность вакансии
Роль требует высокого уровня владения английским языком (C1) и глубоких технических знаний (Python, SQL, статистика). Сложность добавляет необходимость работы на стыке технических команд и бизнес-стейкхолдеров в США.
Анализ зарплаты
Зарплата не указана, но для позиции уровня Senior Product Analyst на Кипре или удаленно в Европе рыночный диапазон составляет от 4500 до 6500 евро. Предложение опционов является значимым дополнением к денежной части.
Сопроводительное письмо
I am writing to express my strong interest in the Product Analyst (GTM) position at Fundraise Up. With over 4 years of experience in data analytics and a deep proficiency in SQL and Python, I have a proven track record of transforming complex datasets into actionable business insights. My background in mathematical statistics and experience with BI tools like Tableau and Metabase align perfectly with your tech stack and the requirements of this role.
What excites me most about Fundraise Up is the opportunity to work on a product that empowers global nonprofits like UNICEF and the American Heart Association. I am particularly drawn to your hypothesis-driven approach and the challenge of bridging the gap between a Russian-speaking development team and US-based business stakeholders. My C1 level of English and proactive communication style will allow me to effectively collaborate across these diverse groups to drive the product roadmap forward.
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Присоединяйтесь к команде Fundraise Up и помогайте крупнейшим благотворительным организациям мира расти с помощью данных!
Описание вакансии
Highlights
Location: Cyprus, Remote
Language: Russian-speaking team; English proficiency required (C1)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
As a Product Analyst, you will be a critical partner to our business teams, working closely with Sales, Marketing, Customer Success (CSM), and Partnerships. Your core mission is to transform raw data into actionable insights that measure effectiveness, drive strategy, and inform the product roadmap. While our development team is Russian-speaking, our main audience and business stakeholders are in the U.S., making your fluency in English essential for success.
What You’ll Do
- Uncover critical insights by forming hypotheses and validating them with data.
- Identify global and local trends in user behavior to inform product decisions.
- Analyze and interpret customer metrics to measure impact and value.
- Design and evaluate A/B tests with prospective customers to optimize performance.
- Handle ad-hoc analytical requests from stakeholders across the organization.
Requirements
- 4+ years of experience as a Data Analyst or Product Analyst.
- A strong foundation in mathematical statistics and probability theory.
- Advanced proficiency in SQL.
- Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
- Hands-on experience with BI tools (Tableau, Power BI, Metabase).
- Excellent command of written and spoken English (C1 level or higher).
- A proactive, curious mindset with strong analytical and communication skills.
Our Tech Stack
- Languages & Libraries: Python
- Databases: ClickHouse, MongoDB, PostgreSQL
- BI & Visualization: Tableau, Grafana, Metabase
- Orchestration: Airflow
- Version Control: Git
Bonus points
- Curiosity and a hypothesis-driven mindset
- Ability to communicate complex analytical concepts to non-technical audiences
- Detail-oriented with a strong sense of ownership
- Comfort working in fast-paced, data-rich environments
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
\\Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
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Навыки
- SQL
- Python
- NumPy
- Pandas
- Matplotlib
- Scikit-learn
- Tableau
- Power BI
- Metabase
- ClickHouse
- PostgreSQL
- MongoDB
- Airflow
- Git
- Grafana
Возможные вопросы на собеседовании
Проверка навыков работы с данными и понимания бизнес-метрик.
Как бы вы оценили влияние нового функционала на конверсию пожертвований, учитывая сезонность в благотворительном секторе?
Оценка технической грамотности в SQL.
Опишите случай, когда вам приходилось оптимизировать сложный SQL-запрос для работы с большими данными в ClickHouse или PostgreSQL.
Проверка умения работать с гипотезами.
Расскажите о случае, когда ваша гипотеза не подтвердилась данными. Какие выводы вы сделали и как это повлияло на продукт?
Оценка навыков коммуникации на английском языке.
Как вы объясните нетехническому стейкхолдеру из отдела продаж в США результаты сложного A/B теста?
Проверка владения Python для анализа.
Какие библиотеки Python вы чаще всего используете для очистки данных и визуализации трендов, и почему?
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