Product Analyst, Core team - Remote

Language: Russian-speaking team;
Strong English required (B2)

We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.

Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA),
donor, organization, and partner portals
, admin tools
, and several internal apps.

Our backend is powered by Node.js (Koa, NestJS) and MongoDB
. The frontend stack includes Webpack, Vue.js, and React
, with nearly all code written in Type Script . For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in Click House
, and we use Elasticsearch for search.

We are a distributed team of 120+ product professionals, including 35+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. Biweekly engineering forums give space to share learnings and celebrate technical achievements. You’ll be joining a team where quality, mentorship, and mutual respect come first.

We’re looking for a Product Analyst for our сore team with 5+ years of experience. In this role, you will work with product metrics, build the foundation of our analytical infrastructure (data marts, dashboards, metrics), and help product teams make data-driven decisions. The team is being built from scratch – you will be its first member. Over time, we expect you to lead the function, hire additional analysts, and step into a team lead role.

The project’s main audience and business team are based in the US. Although the product development team speaks Russian, you will occasionally need to write in English. Therefore, we expect you to at least be able to read and write clearly in English.

• Work with product metrics: develop the metrics tree and ensure transparency and consistency of measurements.
• Design and build data marts used by other analysts.
• Develop and maintain BI dashboards for the entire company.
• Look for insights in data, conduct research, and help product teams identify growth opportunities.
• Handle ad-hoc requests from product teams.
• Set up and fine-tune collaboration processes with other teams.

• 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 (Num Py, 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.
• Languages & Libraries: Python
• Orchestration: Airflow
• Version Control: Git
• 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