Product Analyst, GTM

August 18

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Fundraise Up

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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

• Location: Remote (CET hours preferred) • Compensation: 433,500 - 562,500 Serbian dinars + stock options • Language: Russian-speaking team; English proficiency required (C1) • About Fundraise Up: We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. • A Truly Global Product: We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe. • The Team: We are a distributed team of 120+ product professionals, including 35+ engineers. • About the Role: As a Product Analyst, you will be a critical partner to our business teams, working closely with Sales, Marketing, Customer Success (CSM), and Partnerships. • What You’ll Do: 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. • Our Tech Stack: Languages & Libraries: Python; Databases: ClickHouse, MongoDB, PostgreSQL; BI & Visualization: Tableau, Grafana, Metabase; 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

🎯 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