Close is hiring our first Senior Product Growth Analyst. This analyst will be embedded in the Growth team and act as a strategic partner. You’ll turn product and user data into actionable insights that will drive experimentation, prioritization, and sustainable revenue growth. You’ll help us build a disciplined, outcomes-driven growth process, identify opportunities, and ensure we’re focused on what truly moves the needle.
This analyst will build our product analytics foundation from the ground up. This includes working with Product and Data Engineering to improve instrumentation and define core metrics. You’ll play a key role in setting the standards for how we measure and learn from user behavior.
This is a high-impact role with direct influence on company strategy and growth. You’ll help Close transition from reactive growth efforts to a proactive, insight-led approach.
Requirements
A seasoned product/growth analyst with 5–8 years of experience in fast-paced SaaS or tech environments
Fluent in A/B testing methodologies and tools
Experienced in analyzing product usage and customer behavior to drive measurable outcomes
Comfortable working with ambiguity, imperfect datasets, and building from scratch
Commercially minded, able to connect product engagement with revenue impact
A proactive communicator and clear storyteller who can tailor insights for technical and non-technical stakeholders
Comfortable presenting to senior leadership and navigating complex discussions
Collaborative and cross-functional by nature, able to work fluidly across Product, Finance, Engineering, and Marketing
Experience with data science techniques (e.g., regression modeling)
Data engineering skills to improve self-serve and data infrastructure
Analyze product and user behavior to guide growth strategy
Design and assess A/B tests and experimentation frameworks
Define, monitor, and report on KPIs such as activation, conversion, and retention
Identify friction points in the customer journey and quantify potential impact
Build dashboards and tools to support team decision-making
Partner with Finance to size opportunities and inform forecasting
Collaborate with Data Engineering to improve instrumentation and data quality
Proactively surface trends, opportunities, and risks to inform prioritization and ideation