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.
51 - 200 employees
🤲 Charity
💳 Fintech
☁️ SaaS
Product Analyst, GTM
August 18
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.
51 - 200 employees
🤲 Charity
💳 Fintech
☁️ SaaS
📋 Description
• Uncover critical insights by forming hypotheses and validating them with data. • Identify global and local trends in user behavior to inform product decisions. • Analyze and interpret customer metrics to measure impact and value. • Design and evaluate A/B tests with prospective customers to optimize performance. • Handle ad-hoc analytical requests from stakeholders across the organization.
🎯 Requirements
• 4+ years of 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). • Excellent command of written and spoken English (C1 level or higher). • A proactive, curious mindset with strong analytical and communication skills.
🏖️ 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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