
Charity • Fintech • SaaS
Fundraise Up is a digital platform that revolutionizes the way nonprofits conduct online fundraising. It offers a suite of tools designed to enhance donor engagement and boost conversion rates, including optimized campaign pages, a checkout system, and pre-built UI components. Fundraise Up supports global fundraising with multi-language capabilities and provides comprehensive security features to protect both donor data and the fundraising process. It integrates seamlessly with various platforms and uses artificial intelligence to personalize the donation experience. Its mission is to maximize donations for causes worldwide through innovative technology and strategic partnerships with nonprofits.
November 26
🗣️🇷🇺 Russian Required

Charity • Fintech • SaaS
Fundraise Up is a digital platform that revolutionizes the way nonprofits conduct online fundraising. It offers a suite of tools designed to enhance donor engagement and boost conversion rates, including optimized campaign pages, a checkout system, and pre-built UI components. Fundraise Up supports global fundraising with multi-language capabilities and provides comprehensive security features to protect both donor data and the fundraising process. It integrates seamlessly with various platforms and uses artificial intelligence to personalize the donation experience. Its mission is to maximize donations for causes worldwide through innovative technology and strategic partnerships with nonprofits.
• 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 (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.
• 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
Apply NowSeptember 3
51 - 200
Product Analyst performing analytics, dashboarding, and ETL for a fintech API platform at Truv