Product Analyst, Core team at Fundraise Up

, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

27 Apr, 26

Salary

0.0

Posted On

27 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Python, Mathematical Statistics, Probability Theory, BI Tools, Tableau, Power BI, Metabase, Detail-Oriented, Problem Solving, Collaboration, Communication, Growth Opportunities, Metrics Development, Research

Industry

Software Development

Description

Highlights: Role: Product Analyst Location: Portugal, Remote Language: Russian-speaking team; Strong English required (B2) About Fundraise Up 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. A Truly Global Product 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 TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search. The Team 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. About the Role 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. What You’ll Do 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. 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 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.

Responsibilities

The Product Analyst will work with product metrics, build analytical infrastructure, and help product teams make data-driven decisions. As the first member of the core team, the analyst will eventually lead the function and hire additional analysts.