FundraiseUp Inc. logo

Product Analyst, GTM

Job Overview

Location

Spain - Remote

Job Type

Full-time

Category

Data Analyst

Date Posted

February 24, 2026

Full Job Description

đź“‹ Description

  • • As a Product Analyst, GTM at FundraiseUp, you will be instrumental in bridging the gap between raw data and strategic decision-making, empowering our Sales, Marketing, Customer Success (CSM), and Partnerships teams to achieve their goals. Your primary responsibility will be to translate complex datasets into clear, actionable insights that not only measure the effectiveness of our go-to-market strategies but also directly inform our product development roadmap and overall business strategy. This role is pivotal in ensuring our product continues to meet and exceed the needs of the world's leading nonprofit organizations.
  • • You will dive deep into user behavior, identifying both global and local trends that influence how our clients interact with the FundraiseUp platform. By forming hypotheses and rigorously validating them with data, you will uncover critical insights that drive product innovation and optimization. This involves a continuous process of analysis, interpretation, and communication to stakeholders across the organization.
  • • A significant part of your role will involve designing and evaluating A/B tests with prospective customers. This experimental approach is crucial for optimizing conversion rates, improving user experience, and ensuring that our platform remains at the forefront of fundraising technology. You will be responsible for the entire lifecycle of these tests, from conception and design to execution and analysis of results.
  • • You will serve as the go-to expert for analytical requests from various business units. This requires not only strong technical skills in data manipulation and analysis but also the ability to understand the unique needs of each department and tailor your insights accordingly. Ad-hoc requests will range from deep dives into customer churn to performance analysis of marketing campaigns, all contributing to a holistic understanding of our business.
  • • FundraiseUp is a modern, rapidly growing fundraising platform dedicated to making online donations as fast and convenient as possible. We are trusted by leading nonprofits like UNICEF, the American Heart Association, and the Alzheimer’s Association, processing tens of millions of dollars monthly. Our enterprise clients are primarily based in the US, Canada, UK, and Australia, making your English proficiency essential for effective communication.
  • • The product development team is a dynamic and growing group of over 150 professionals located across various European countries. While our internal development team primarily communicates in Russian, our external-facing business operations and client base necessitate strong English communication skills. You will be an integral part of this collaborative environment, where knowledge sharing, continuous learning, and a pursuit of excellence are highly valued.
  • • You will work with a diverse set of data sources and tools, including ClickHouse, MongoDB, PostgreSQL, Tableau, Grafana, and Metabase. Your expertise in SQL and Python, coupled with your experience in BI tools, will be essential for extracting, transforming, and visualizing data to support business objectives.
  • • This role offers a unique opportunity to impact a product used by some of the most recognized and impactful nonprofit organizations globally. You will have direct access to customer feedback and be part of a transparent company culture that values long-term contributions and fosters a flat, collaborative work environment. Your insights will directly influence product strategy and business growth, making this a highly rewarding position for a data-driven professional.
  • • You will be expected to proactively identify opportunities for data-driven improvements, contributing to a culture of continuous optimization. This includes staying abreast of industry trends in fundraising technology and data analytics, and applying that knowledge to enhance our platform and go-to-market strategies. Your analytical rigor and ability to communicate complex findings clearly will be key to your success and the success of the teams you support.
  • • Ultimately, your work as a Product Analyst, GTM will be about empowering FundraiseUp to better serve its mission by providing the data-driven intelligence needed to refine our product, optimize our outreach, and deepen our relationships with the nonprofit sector worldwide. You will be a critical voice in shaping the future of our platform and its impact on charitable giving.

🎯 Requirements

  • • 4+ years of experience as a Data Analyst or Product Analyst.
  • • 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).
  • • Strong foundation in mathematical statistics and probability theory.

🏖️ Benefits

  • • 31 days off
  • • 100% paid telemedicine plan
  • • Home Office Setup Assistance (furniture, monitor, etc.)
  • • English learning courses
  • • Relevant professional education
  • • Gym or swimming pool membership
  • • Co-working space access
  • • Remote working

Skills & Technologies

Python
PostgreSQL
MongoDB
Git
Pandas
Remote

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FundraiseUp Inc.
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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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