Openings at Glassbox


Data Analyst

Full-time · Senior

About The Position

Glassbox is looking for a Data Analyst to join our R&D team

Glassbox is a world leader in recording analytics. This is an opportunity to work with bleeding-edge technology and top-tier customers while solving problems at an incredible scale

When was the last time you were excited to go to work?

What you'll be doing

As our Data Analyst, you will surely get excited with the opportunity of handling exceptional volumes of customer data (hundreds of billions of monthly events!) and help us discover new insights to solve real problems and drive crucial value for some of the largest organizations in the world.

You will work closely with multiple teams within Glassbox and take a pivotal role in defining our product roadmap and capabilities


  • Work closely with product team and other business stakeholders to analyze and identify new trends in web and mobile user behavior and experience for our customers
  • Telling a story through data visualization by building and using reports and dashboards to demonstrate data trends and findings and communicating the story to different audiences including leadership
  • Partner with business and R&D teams to productize features in the platform and enhance our customer insights 
  • Drive product roadmap and feature development by data driven decision making


  • 3+ years of experience as BI / Data Analyst - a must
  • Passion for exploration and discovering new insights and trends in massive amounts of data
  • Experience with data visualization tools (e.g. Sisense, Tableau, PowerBI, Looker, QlikSense)
  • Expert SQL skills (complex queries) and prior experience with DWH modeling
  • Creative and out of the box thinking
  • Independent self-starter and team player with excellent communication and interpersonal skills
  • Degree or equivalent experience in quantitative field (Engineering, Statistics, etc)
  • Excellent / Fluent written and spoken English

An advantage

  • Big Advantage - Prior experience and understanding of digital customer experience (CX) or similar business domain
  • Experience in Python and data engineering approaches (Spark, ETL processes, etc)
  • Thrives and enjoys working in startups and fast paced environment 

Apply for this position