Bloomerang is the Giving Platform built for purpose, trusted by 24,000+ nonprofits to raise more funds, retain more supporters, and create lasting change. By unifying fundraising, CRM, and volunteer management in one easy-to-use platform, Bloomerang gives organizations a complete view of every supporter and the tools to build stronger relationships. Backed by expert support and a team passionate about nonprofit success since 2012, Bloomerang is more than software—it’s a growth partner for missions that matter.

The Role

We are seeking a highly experienced and autonomous Sr. Product Analyst to establish the quantitative foundation for a newly formed Product Growth Team, focused on optimizing conversion. This is a critical, high-leverage individual contributor role that requires an experienced analyst capable of designing and owning our end-to-end experimentation practice.

As an ideal candidate, you possess deep expertise in product analytics, statistical rigor, and have the ability to translate complex user behavior into actionable growth strategies. You will be the sole quantitative partner on a dedicated, cross-functional team responsible for accelerating our mission-driven goals through data-informed iteration and optimization.

What You Will Do

Product Opportunity Identification: Conduct deep-dive analyses of user demographic and behavioral data, product funnels, and retention patterns to identify high-leverage growth opportunities, particularly around activation and conversion.

Experimentation Framework Ownership: Establish and own the end-to-end A/B testing framework. Guide the cross-functional team on proper experiment design, metric selection, segmentation, and controls to ensure reliable and trustworthy results.

Statistical Rigor Enforcement: Enforce the required statistical rigor and discipline across all experiments, ensuring that results are mathematically validated and that systemic product improvements are accurately differentiated from random variation.

Strategic Metrics and Alignment: Define, instrument, and communicate core success metrics (NSM, KPIs) that direct the team’s activities and align the entire organization on conversion goals.

Reporting and Self-Service Dashboards: Design, build, and maintain scalable, reliable self-service dashboards using advanced visualization tools (Looker, Tableau) to serve as the single source of truth for the Growth team.

What You Need to Succeed

Statistical Rigor & Experimentation Design: Demonstrable experience establishing and managing a statistically robust A/B testing framework in a live production environment, including the prevention of common statistical errors.

Advanced Data Proficiency: Expert proficiency in SQL for complex data wrangling and metric definition. Advanced proficiency in Python or R for statistical analysis, custom modeling, and advanced analytics.

Product Analytics Mastery: Extensive experience using a variety of specialized tools for Web Analytics, PLG, and Experimentation for behavioral cohort analysis, funnel mapping, and user journey tracking. This should include proven success in high-growth environments, with a deep understanding of consumer behavior at the point of sale.

Data Visualization Expertise: Expert ability to build and maintain governed, self-service data models and dashboards using tools like Looker, Tableau, or similar BI platforms.

Strategic Communication Skills: Exceptional ability to manage ambiguity and communicate complex technical findings into clear, persuasive narratives for both technical and non-technical audiences at a variety of levels.