Fundraiseup
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.
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.
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
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
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
#J-18808-Ljbffr
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.
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.
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
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
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
#J-18808-Ljbffr