Lead Analyst, Product Analytics
crypto:analyticsproductIC5Finance
Compensation
Not disclosed
We are seeking a new product analyst to join us! Working with Product Managers, you will integrate data into our product decisions and guide product development with relevant insights based on analysis. You'll create data sets, design analysis, provide rigorous reporting, and make recommendations to our product roadmap. You are focused on impact and have the skill to understand customers and promote growth. You should demonstrate curiosity, data fluency, and a passion for making decisions based on data.
You will report to the Manager, Product Analytics in our New York headquarters.
You’ll Get To…
Work with Product, Engineering, and Design teams to understand project goals, determine measurements, monitor performance, and explore our customers
Partner with the Product team to become an expert in a specific product area
Understand product requirements and build dashboards that answer common questions; iterate and improve on existing work to increase impact; improve user experience and adoption; measure the health of the business; and provide visibility of our data to partners
Translate broad questions into plans for research and discovery, perform data exploration, and craft narratives from data insights for non-technical team members that caters to clear storytelling and applicable recommendations
Create all the technical implementations and documentation associated with your analytical work and work toward 100% accuracy
Champion best practice experimentation methodologies and analyze results to provide recommendations
Who We’re Looking For
6-8 years of work experience in data or product analysis (SaaS experience preferred)
6-8 years of experience with reporting, dashboarding, and data visualizations with tools like Looker, Amplitude, Hex, Tableau, and/or comparable data visualization tools
Experience working with AI Tools such as Cursor and Claude
Fluency in SQL and comfort with Python for data exploration
Love to get deep into the weeds with data an