Data Analyst, Product

Responsibilities

• Own discrete, well-defined analytics projects from start to finish, with guidance from senior analysts.
• Build and maintain dashboards that help Product and Technology teams track progress against their objectives, developed collaboratively with your manager and senior teammates.
• Work with clickstream and behavioral data, including Amplitude, to understand how users move through the product.
• Support feature measurement and A/B testing, with increasing independence as you grow.
• Contribute to team knowledge sharing, documentation, and onboarding new team members.
• Partner with cross-functional teams across Product, Engineering, and Design to support feature measurement, build reports, and help the business make data-informed decisions.

Requirements

• Naturally curious and motivated to ask good questions, dig into data, and keep learning.
• 2+ years of experience working with data in an analytics, BI, or product context.
• Working knowledge of SQL, with a growing ability to write and troubleshoot queries independently.
• Familiarity with clickstream and behavioral event tracking tools such as Amplitude or Mixpanel.
• Experience building or contributing to dashboards in a BI tool (Looker, Tableau, Power BI, or similar).
• A developing ability to conduct, interpret, and communicate diagnostic analysis.
• Some exposure to A/B or A/A testing concepts and how they're used to measure product changes.
• Attention to detail and good instincts around data quality.
• Able to clearly communicate progress, blockers, and findings to teammates and stakeholders.
• Comfortable seeking out help, asking clarifying questions, and partnering with others to solve problems.

Nice-to-Haves

• Beginner-level Python or R.
• Familiarity with event taxonomy or instrumentation design.
• Exposure to SaaS or Enterprise product environments.
• Familiarity with modern AI or BI tools (Omni, Claude, Dust, Hex, or similar).