Fundraise Up
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.
Product Analyst
November 21
🗣️🇷🇺 Russian Required
Fundraise Up
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.
📋 Description
• 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.
🏖️ 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
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