Product Analyst

Our team turns operational data into decisions. We work with Product, Operations, Customer Service, and Risk to find opportunities, measure what's working, and help the business scale without breaking the customer experience.

This role is open to talented students and early-career analysts — we care more about how you think than about years on your CV.

The Product Analyst is responsible for:

• Analyze product and operational data to identify trends, opportunities, inefficiencies, and areas for improvement on Customer Service. 
• Develop and monitor KPIs and dashboards that help Operations teams understand performance and make informed decisions.
• Partner closely with Product, Operations, Customer Service, Risk, and other teams to understand business problems and translate them into data-driven solutions.
• Identify opportunities to improve processes, productivity, customer experience, and operational efficiency through data.
• Translate complex analyses into clear, actionable insights for both technical and non-technical stakeholders.
  
  

Challenges that await you:

• Dig into product and operational data (mostly Customer Service) to find trends, bottlenecks, and opportunities — and explain why, not just what.
• Help build and maintain the KPIs and dashboards teams use to track performance and act fast.
• Turn fuzzy business questions into structured analysis and a clear recommendation.
• Help design and measure experiments and process changes, and tell us honestly what moved the needle.
• Investigate anomalies down to root cause, and flag data-quality gaps you find along the way.
  
  

What makes you a great fit:

• Experience in Product, Business, Operations, or Data Analytics is a plus. Most importantly, we’re looking for someone who is curious, eager to learn, and excited to grow.
• Solid foundation in statistics and math.
• Python skills are required.
• SQL skills are highly desirable.
• Experience building and maintaining dashboards and data visualizations using tools such as Looker, Tableau, Power BI, Metabase, or similar.
• Experience working with product and operational KPIs, customer behavior, funnels, cohorts, conversion, retention, productivity, or similar metrics.
• Clear communication — you can explain an analysis to a non-technical stakeholder without losing them.
• English and Spanish proficiency is required.