Product Analyst, GTM

About the Role

The Product Analyst role is a key part of the business team, responsible for analyzing customer metrics, identifying trends, and designing A/B tests to optimize performance. You will have the opportunity to work with a large and complex product ecosystem, including a modern checkout experience, customizable widgets, and donor, organization, and partner portals. With a collaborative and dynamic team, you will have the chance to make a real impact and contribute to the company's mission of making donating to nonprofits fast, seamless, and accessible to all.

What You Will 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
• Collaborate with cross-functional teams to identify areas of improvement and optimize performance
• Develop and maintain databases and data systems to support business intelligence
• Create data visualizations and reports to communicate insights to non-technical stakeholders
• Stay up-to-date with industry trends and emerging technologies in data analysis and product development
• Participate in the development of the company's product roadmap and strategy

What We Are Looking For

• 4+ years of experience as a Data Analyst or Product Analyst
• A strong foundation in mathematical statistics and probability theory
• Advanced proficiency in SQL and experience with BI tools such as Tableau, Power BI, or Metabase
• Expertise in Python and its data analysis libraries, including NumPy, Pandas, Matplotlib, and Scikit-learn
• Excellent command of written and spoken English, with a minimum C1 level or higher
• A proactive, curious mindset with strong analytical and communication skills
• Experience working with large datasets and complex data systems
• Knowledge of data visualization principles and practices
• Ability to work in a fast-paced, dynamic environment with multiple priorities and deadlines

Nice to Have

• Experience working with AI and machine learning technologies
• Knowledge of cloud-based data platforms and tools, such as AWS or Google Cloud
• Familiarity with Agile development methodologies and version control systems, such as Git
• Experience working with nonprofit organizations or in the fundraising sector
• Certification in data analysis or a related field, such as Google Data Analytics or Microsoft Certified: Data Analyst Associate

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work with a global, cutting-edge fundraising platform
• Collaborative and dynamic team with a strong focus on innovation and customer-centricity
• Professional development and growth opportunities, including training and education programs
• Flexible working hours and remote work options
• Access to the latest tools and technologies in data analysis and product development
• Recognition and rewards for outstanding performance and contributions to the company's mission

• To stand out in this role, be prepared to showcase your expertise in data analysis and visualization, as well as your ability to communicate complex insights to non-technical stakeholders.
• Make sure to highlight your experience working with large datasets and complex data systems, as well as your proficiency in SQL, Python, and data analysis libraries.
• Be prepared to discuss your approach to hypothesis-driven analysis and your experience designing and evaluating A/B tests.
• Show a willingness to learn and adapt to new technologies and tools, including AI and machine learning.
• Be prepared to discuss your experience working in a fast-paced, dynamic environment with multiple priorities and deadlines, and your ability to work collaboratively with cross-functional teams.
• Don't forget to ask about the company culture, values, and mission, and be prepared to discuss how your skills and experience align with these.
• Finally, be prepared to negotiate your salary and benefits package, and don't be afraid to ask about opportunities for professional development and growth.