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Product Analyst, Donor Portal
Оценка ИИОтличное предложение с прозрачной культурой, опционами и социально значимым продуктом. Высокий балл обусловлен сильной командой, современным стеком технологий и расширенным пакетом бенефитов (удаленка, коворкинг, обучение).
Сложность вакансии
Оценка ИИРоль требует высокого уровня экспертизы (5+ лет) и владения серьезным стеком: Python, SQL и матстатистика. Работа в международном продукте с фокусом на удержание (retention) и LTV подразумевает высокую ответственность за принимаемые решения.
Анализ зарплаты
Оценка ИИЗарплата в вакансии не указана, но для позиции Senior Product Analyst с локацией в Грузии и работой на рынок США/Европы, рыночные ожидания обычно выше локальных средних значений. Предлагаемый пакет бенефитов и опционы значительно повышают общую ценность компенсации.
Сопроводительное письмо
I am writing to express my strong interest in the Product Analyst position for the Donor Portal team at Fundraise Up. With over five years of experience in product analytics and a deep proficiency in SQL, Python, and mathematical statistics, I have a proven track record of driving retention and LTV through data-driven insights. Your mission to support organizations like UNICEF and the American Heart Association resonates with me, and I am eager to apply my expertise in A/B testing and BI development to enhance the post-donation experience.
In my previous roles, I have specialized in building complex data marts and designing dashboards that translate technical metrics into actionable product strategies. I am particularly drawn to Fundraise Up’s collaborative environment and the opportunity to work within a high-impact, Russian-speaking team while operating on a global scale. I am confident that my proactive approach and hypothesis-driven mindset will contribute significantly to reducing churn and optimizing subscription management for your donors.
Составьте идеальное письмо к вакансии с ИИ-агентом
Откликнитесь в fundraiseup уже сейчас
Присоединяйтесь к команде Fundraise Up и помогайте крупнейшим мировым благотворительным организациям увеличивать их влияние через данные!
Описание вакансии
Highlights:
Location: Georgia, Remote
Language: Russian-speaking team; Professional working proficiency in English (B1 or higher)
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
We’re looking for a Product Analyst to join the Donor Portal (Donor Experience) team. The Donor Portal team owns the post-donation experience – everything that happens after a donor completes a donation. The team focuses on reducing churn and increasing subscription LTV by improving subscription management within the donor portal (pauses, amount changes, skipping charges, etc.), as well as enhancing donor communications via email.
What You’ll Do
- Run A/B tests
- Identify insights in data, conduct research, and help product teams uncover growth opportunities.
- Work with retention rate and subscription/supporter LTV metrics.
- Design and build data marts.
- Develop and maintain BI dashboards.
- Handle ad-hoc requests from product teams.
Requirements
- 5+ years of professional 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).
- Strong written English for clear documentation and communication.
- A proactive, detail-oriented mindset with a passion for solving complex problems.
Our Tech Stack
- Languages & Libraries: Python
- Databases: ClickHouse, MongoDB, PostgreSQL
- BI & Visualization: Tableau, Grafana
- 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.
Создайте идеальное резюме с помощью ИИ-агента
Навыки
- SQL
- Python
- NumPy
- Pandas
- Matplotlib
- Scikit-learn
- Tableau
- Power BI
- Metabase
- ClickHouse
- MongoDB
- PostgreSQL
- Airflow
- Git
- A/B Testing
- Mathematical Statistics
- Probability Theory
Возможные вопросы на собеседовании
Позиция сфокусирована на Donor Portal, где ключевыми метриками являются Churn и LTV. Важно понимать, как кандидат подходит к их анализу.
Как бы вы подошли к анализу причин оттока (churn) подписчиков в личном кабинете донора и какие сегменты выделили бы в первую очередь?
Вакансия требует проведения A/B тестов для оптимизации опыта доноров.
Опишите ваш процесс подготовки и оценки результатов A/B теста: как вы определяете размер выборки и какие статистические критерии используете для проверки значимости?
В стеке указаны ClickHouse и Airflow, что предполагает работу с большими данными и ETL.
Расскажите о вашем опыте проектирования витрин данных (data marts). С какими сложностями вы сталкивались при работе с ClickHouse или PostgreSQL?
Работа предполагает взаимодействие с продуктовыми командами и перевод данных в инсайты.
Приведите пример, когда ваш анализ данных напрямую привел к изменению в продукте или бизнес-стратегии. Как вы презентовали эти выводы?
Вакансия требует уровня B1+, так как документация и часть коммуникаций ведутся на английском.
How do you handle documentation for your analytical models, and can you describe a technical challenge you solved recently in English?
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