Job Description

As a Product Analyst, you’ll be a primary thought partner to product and engineering leaders on everything data. You will be integral to the end-to-end product development process: from informing product requirements to evaluating the impact of our products post-launch. Most importantly, you’ll help to drive a culture of product development in which technology teams are endlessly curious, ask great questions, and are reliably able to answer these questions quickly, easily, and accurately.

What You’ll Do

• Partner with product teams to advise on product direction and strategy, roadmaps, feature prioritization, metrics and goals, feature prioritization, and user journeys, and to accelerate decision making.
• Define core product and feature metrics and develop reporting and self-serve experiences in Looker and Amplitude to guarantee consistent and efficient access to these metrics
• Collaborate with Product, and Engineering, to ensure proper tracking of new product initiatives and features
• Play a foundational role in building product features for SaaS within the company. Documenting business requirements for development
• Lead advanced, ad-hoc analytics projects to understand user behavior and long-term trends to identify opportunities for improving user acquisition, engagement, experience, value, and retention
• Manage the design, implementation, and evaluation of experiments and develop and socialize a rigorous culture of experimentation across all product teams
• Collaborate with UX research to design and evaluate surveys and surface quantitative insights on customer experience
• Collaborate cross-functionally with sister analytics teams at the company to share best practices, insights, and innovations

• 2+ years of previous experience as a business analyst, product analyst,
• Experience with UX/UI design requirements
• Demonstrated experience with requirements gathering and documentation for development
• Experience with data transformation and orchestration tooling (dbt strongly preferred)
• Expert-level SQL and familiarity with a scientific programming language, such as R or Python.
  • Solid understanding of customer-centric digital product analysis