Product Analyst, OX at Fundraise Up

, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

5200.0

Posted On

06 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Python, Statistical Analysis, A/B Testing, Business Intelligence, Data Visualization, ETL Processes, Problem Solving, Communication, Detail Orientation, Curiosity, Team Collaboration, Technical Documentation, Data Mart Creation, Analytical Thinking

Industry

Software Development

Description

Highlights: Location: Portugal, Remote Compensation: €4,000 - €5,200 + stock options 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 As a Product Analyst, you will be a versatile data expert at the heart of our product decisions. Your work will span the full analytical lifecycle—from building data marts and ETL processes to designing and analyzing A/B tests and delivering key insights to stakeholders. This is a role for a proactive analyst who is comfortable working across a wide range of tasks and is passionate about using data to find the truth and drive results. What You’ll Do Uncover Actionable Insights: Identify key trends in user behavior, develop data-backed product hypotheses, and work with teams to test them. Own A/B Testing: Design, launch, and analyze A/B tests to validate ideas and optimize product performance. Build a Data Foundation: Create and maintain data marts and BI reports to visualize product and operational metrics for the entire company. Perform Deep-Dive Analyses: Handle ad-hoc analytical requests to answer critical business and product questions. 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.

Responsibilities

As a Product Analyst, you will uncover actionable insights and own A/B testing to optimize product performance. You will also build a data foundation and perform deep-dive analyses to support product decisions.