Product Data Analyst, Experience

How you will make a difference day to day

• Use data to influence product strategy and investment decisions. Help prioritize product development initiatives by setting goals and understanding the product ecosystem.
• Work with large and complex datasets to analyze user behaviors, pain points, and opportunities for improved product experiences.
• Build and maintain dashboards, reports, and visualizations to communicate key metrics and insights across Product and GTM teams.
• Partner with Product, Engineering, and Design teams to measure the impact of new product features and user journey enhancements, providing data-driven recommendations for further improvements.
• Design and implement A/B testing strategies to evaluate product changes and enhancements, and interpret results to inform product decisions.
• Conduct exploratory data analysis on customer feedback, user flows, and product usage to identify patterns and trends that can inform product direction .
• Provide analytical support to leadership and product managers, helping to set product KPIs, forecast performance, and determine areas for optimization.
• Partner with the revenue and finance teams to support GTM strategies through data analysis, customer acquisition cost (CAC) assessment, and revenue forecasting.
• Maintain and refine data models that facilitate deeper analysis of product experience and growth metrics, contributing to data accuracy and consistency.
• Present data findings and insights to cross-functional teams, highlighting critical areas of opportunity and progress toward company goals. Tell data-driven stories to convince and influence partners using clear insights and recommendations.
• Participate in customer journey mapping sessions to ensure data-backed recommendations are integrated into planning and execution phases.

We’d love to hear from you if you have

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
• 3+ years of experience in data analysis, preferably within a product-focused or SaaS environment.
• Strong proficiency in SQL, Python, or similar programming languages used for data analysis.
• Experience with data visualization tools such as Omni, Tableau, Looker, or similar platforms.
• Demonstrated ability to analyze complex datasets and deliver clear, actionable insights that drive product improvements.
• Strong communication skills, with the ability to present data insights to both technical and non-technical audiences.
• Familiarity with product development processes and the role played by data in product management, design, and engineering.
• Experience conducting A/B testing and interpreting the results to inform product decisions.
• Required to work on-site 5x a week in our Miami office (Coral Gables).

Nice to haves, but NOT required

• Experience in a SaaS environment focused on enhancing customer experience and streamlining processes like onboarding and billing automation.
• Knowledge of dbt for data modeling and experience with incremental models.
• Familiarity with analytics tools such as Pendo, Amplitude, or Mixpanel for tracking product usage and user behavior.
• Experience supporting GTM strategies, particularly in roles that intersect product, analytics, and revenue growth.
• Strong problem-solving skills and an analytical mindset, with a passion for using data to improve user experience and drive growth.