
Job Overview
Location
Poland - Remote
Job Type
Full-time
Category
Data Analyst
Date Posted
February 24, 2026
Full Job Description
đź“‹ Description
- • Join Fundraise Up as a Product Analyst, a pivotal role where you'll be instrumental in shaping the future of our innovative fundraising platform through data-driven insights and strategic analysis. This is an exceptional opportunity for a versatile data expert to immerse themselves in the full analytical lifecycle, from foundational data engineering to sophisticated A/B testing and impactful stakeholder communication. If you are a proactive, curious, and detail-oriented individual with a passion for uncovering the truth within data and driving tangible results, this role is designed for you.
- • At Fundraise Up, we are dedicated to making online charitable giving as seamless and efficient as possible. Our cutting-edge platform is trusted by the world's leading nonprofit organizations, including UNICEF, the American Heart Association, and the Alzheimer’s Association, empowering them to raise tens of millions of dollars monthly. We pride ourselves on continuous innovation, focusing on reducing page load times, maximizing conversion rates, and supporting a diverse array of payment methods. Our commitment to excellence is reflected in our consistently high customer satisfaction ratings.
- • As a Product Analyst, you will be at the forefront of our product development efforts, working within a dynamic and collaborative team environment. You will collaborate closely with product managers, engineers, and designers to translate complex data into actionable strategies. Your responsibilities will encompass a broad spectrum of analytical tasks, ensuring that our product evolves in alignment with user needs and business objectives. This role offers a unique chance to influence product direction and contribute significantly to the success of a fast-growing, mission-driven company.
- • Key Responsibilities:
- • Uncover Actionable Insights: Proactively dive into user behavior data to identify critical trends, patterns, and opportunities. Develop data-backed hypotheses for product improvements and new features, and collaborate with cross-functional teams to design and execute experiments to validate these hypotheses.
- • Own A/B Testing: Take full ownership of the A/B testing process, from conceptualization and experimental design to implementation, monitoring, and rigorous analysis. You will be responsible for interpreting test results, drawing statistically sound conclusions, and providing clear recommendations to optimize product performance and user experience.
- • Build and Maintain a Robust Data Foundation: Design, develop, and maintain data marts and comprehensive BI reports. These will serve as the single source of truth for key product and operational metrics, enabling data-informed decision-making across the entire organization. You will ensure data accuracy, accessibility, and usability for various stakeholders.
- • Perform Deep-Dive Analyses: Conduct in-depth, ad-hoc analytical investigations to answer critical business and product questions. This involves leveraging your expertise in SQL, Python, and statistical methods to explore complex datasets, identify root causes of issues, and provide clear, concise answers to drive strategic initiatives.
- • Collaborate and Communicate: Work closely with product, engineering, and marketing teams to understand their analytical needs and provide timely, insightful support. Effectively communicate complex analytical findings and recommendations to both technical and non-technical audiences through compelling visualizations and clear narratives.
- • Drive Product Strategy: Contribute to the product roadmap by providing data-driven recommendations based on user behavior, market trends, and experimental results. Help prioritize features and initiatives by quantifying their potential impact.
- • Enhance Data Infrastructure: Participate in discussions and initiatives related to data quality, data governance, and the evolution of our data stack, ensuring that our analytical capabilities scale with the company's growth.
- • Continuous Learning and Improvement: Stay abreast of the latest trends and best practices in product analytics, A/B testing, and data science. Proactively seek opportunities to improve analytical processes, tools, and methodologies within the team.
- • This role is ideal for someone who thrives in a fast-paced, collaborative environment and is passionate about leveraging data to solve challenging problems and make a real impact. You will be an integral part of a growing product development team, contributing to a platform that empowers nonprofits worldwide. We foster a culture of transparency, continuous learning, and mutual support, ensuring that every team member has the resources and encouragement to succeed.
Skills & Technologies
Python
PostgreSQL
MongoDB
Git
Pandas
Remote
About FundraiseUp Inc.
FundraiseUp provides a SaaS donation platform for nonprofits, charities, and NGOs. Its technology uses AI and behavioral data to personalize giving experiences, increase donor conversion, and reduce abandonment. Features include one-click payments, recurring giving, multilingual donation forms, and analytics dashboards. The platform integrates with CRMs like Salesforce and Blackbaud, supports Apple Pay, Google Pay, PayPal, ACH, and credit cards, and offers A/B testing and fraud protection. It serves organizations worldwide, helping them raise funds online without dedicated technical staff.
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