Close

Senior Product Growth Analyst

Close

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Senior

About the role

  • 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