Product Data Analyst

You will be the analytical backbone of the company's grant management platform, partnering with Product Managers, designers, and engineers to use product usage data to make decisions. Your responsibilities will include defining and instrumenting product metrics, building self-serve dashboards, designing and analyzing A/B tests, running deep-dive analyses on user behavior, and collaborating with data engineering on the warehouse data model. You will also contribute to the company's shift toward AI-leveraged product development and work to measure the adoption and impact of new AI-powered features. Responsibilities: - Partner with Product Managers and designers on feature scoping - Define and instrument product metrics across web and API surfaces - Build and maintain self-serve dashboards in the BI stack - Design and analyze A/B tests, holdouts, and quasi-experiments - Run deep-dive analyses on user behavior - Synthesize qualitative signal alongside quantitative data - Contribute to the QBR cadence - Collaborate with data engineering on the warehouse data model Qualification Required: - 5+ years in product analytics, growth analytics, or a similar analytical role at a SaaS or product-led company - Strong SQL skills - Hands-on experience with a product analytics tool - Solid grounding in experimentation - Ability to translate product questions into clear analyses for non-technical stakeholders - Comfortable with Python or R for analysis - Strong product intuition The company offers motivating compensation, medical & life insurance, paid holidays, a great working environment, and rapid career development opportunities. You will be the analytical backbone of the company's grant management platform, partnering with Product Managers, designers, and engineers to use product usage data to make decisions. Your responsibilities will include defining and instrumenting product metrics, building self-serve dashboards, designing and analyzing A/B tests, running deep-dive analyses on user behavior, and collaborating with data engineering on the warehouse data model. You will also contribute to the company's shift toward AI-leveraged product development and work to measure the adoption and impact of new AI-powered features. Responsibilities: - Partner with Product Managers and designers on feature scoping - Define and instrument product metrics across web and API surfaces - Build and maintain self-serve dashboards in the BI stack - Design and analyze A/B tests, holdouts, and quasi-experiments - Run deep-dive analyses on user behavior - Synthesize qualitative signal alongside quantitative data - Contribute to the QBR cadence - Collaborate with data engineering on the warehouse data model Qualification Required: - 5+ years in product analytics, growth analytics, or a similar analytical role at a SaaS or product-led company - Strong SQL skills - Hands-on experience with a product analytics tool - Solid grounding in experimentation - Ability to translate product questions into clear analyses for non-technical stakeholders - Comfortable with Python or R for analysis - Strong product intuition The company offers motivating compensation, medical & life insurance, paid holidays, a great working environment, and rapid career development opportunities.