Remote Product Analyst

Summary

Join Fingerprint, a globally dispersed, 100% remote company, as a Product Analyst to help product management, engineering, and other teams understand user engagement by collecting, analyzing, and interpreting data. You'll take ownership of analysis throughout the entire product lifecycle and establish a feedback loop to drive future improvements and new initiatives.

Requirements

• Previous SaaS and Product Led Growth startup experience (preferably series A-C)
• 1-2+ years of experience working in a data role in a SaaS company
• Experience analyzing and modeling large, complex data sets and providing business insights on customer behavior and actions (cause and effect)
• Previous experience in data science, data analysis, experimentation, and knowledge of business statistics
• Tooling experience (specifically Amplitude, Redshift, SQL, PostSQL, Sigma, Preset)
• Preferably a degree in Sociology, Mathematics, Statistics, Computer Science, or Physics

Responsibilities

• Own the end-to-end product analysis process, from designing specifications to supporting product development and delivery
• Review and provide feedback on new features and product changes
• Collaborate on Product Requirement Documents (PRDs)
• Consult with Product Managers, Engineers, and Designers on analytical needs
• Create self-serve dashboards in Preset and/or Sigma Computing to help teams understand product usage and answer recurring questions through big data analysis
• Respond to queries from across the organization by analyzing existing data and generating insights
• Design and analyze experiments, A/B tests, and more using Amplitude Experiment
• Identify missing data points and potential data quality issues that impact analytics and experiments
• Recommend improvements as needed for data quality
• Collaborate with engineers on changes to the physical data model, ensuring they support both short- and long-term analytics needs
• Help define key success metrics for products
• Enable teams to track progress effectively using KPIs & Metrics