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Product Analyst, GTM
Высокий балл за работу в социально значимом продукте с мировым именем, прозрачную культуру, отличный соцпакет (включая опционы и страховку) и возможность удаленной работы из Португалии. Команда говорит по-русски, что облегчает адаптацию.
Сложность вакансии
Роль требует высокого уровня владения английским языком (C1) для общения с рынком США и глубоких технических знаний (Python, SQL, матстат). Сочетание продуктовой аналитики и поддержки GTM-стратегий добавляет сложности в плане бизнес-коммуникаций.
Анализ зарплаты
Зарплата в вакансии не указана, но для позиции Product Analyst с опытом 4+ года в Португалии рыночный диапазон составляет от 45,000 до 65,000 евро в год. Учитывая работу на рынок США и высокие требования к английскому, можно ожидать предложения по верхней границе рынка.
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, Python, and Tableau, I have a proven track record of transforming complex datasets into actionable business strategies. My background in mathematical statistics allows me to design rigorous A/B tests and validate hypotheses that directly impact product roadmaps and conversion rates.
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 data-driven culture and the challenge of bridging the gap between a Russian-speaking development team and US-based business stakeholders. My C1 English proficiency and experience in fast-paced, remote environments make me an ideal candidate to support your Sales, Marketing, and CSM teams in optimizing the GTM strategy.
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Описание вакансии
Highlights
Location: Portugal, 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
- Private medical insurance for the employee and their family
- 22 paid vacation days per year
- Up to 14 paid public holidays per year
- 5 company-paid sick leave days
- English learning courses.
- Relevant professional education.
- Gym or swimming pool.
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- Co-working.
- Remote working.
- €50 monthly allowance to cover internet and mobile phone expenses
\\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
- MongoDB
- PostgreSQL
- Airflow
- Git
- Grafana
- A/B Testing
- Mathematical Statistics
Возможные вопросы на собеседовании
Проверка навыков работы с данными и понимания бизнес-метрик.
Как бы вы оценили эффективность новой маркетинговой кампании для B2B продукта, используя данные из ClickHouse и Tableau?
Оценка знаний математической статистики.
Опишите ваш процесс проектирования A/B теста: как вы определяете размер выборки и боретесь с проблемой подглядывания (peeking problem)?
Проверка умения работать с GTM-командами.
Как вы будете приоритизировать ad-hoc запросы от отделов продаж и маркетинга, если их цели противоречат друг другу?
Оценка владения Python для аналитики.
Какие библиотеки Python вы используете для очистки данных и построения прогнозных моделей? Приведите пример сложной задачи, которую вы решили с их помощью.
Проверка коммуникативных навыков на стыке культур.
Расскажите о случае, когда вам пришлось объяснять сложные аналитические выводы нетехническим стейкхолдерам на английском языке.
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