At JetBrains, our team regularly publishes analytical content — reports, deep dives, and metric-driven insights that support decision-making across product, marketing, and other teams.
These materials are shared across various internal channels and are often referenced in discussions, reused in presentations, or influence ongoing work. What we don’t yet fully understand is how quickly this knowledge spreads and which channels are most effective in driving its distribution.
In this project, we aim to explore how our publications are referenced, discussed, and reused, and to build a foundation for analyzing their overall impact.
Understanding how analytical content is used helps us:
Measure how our work is used after publication
Identify which topics and formats resonate most with the audience
Discover how insights are reused in different contexts
Improve how we create and distribute future content
Ultimately, this helps make our analytics more actionable and valuable across the company.
During the internship, you will work with a selected set of internal publications and analyze how they are used across publicly available internal channels.
You will:
Review a set of analytics publications (e.g., reports or internal posts)
Search for references in internal channels such as Slack, blogs, or other accessible platforms
Classify types of usage, such as:
direct references
discussions
reuse of data or insights
Build a structured dataset with your findings
Prepare a summary report highlighting key patterns and insights
You may also suggest ideas for how this type of analysis could be scaled or automated.
Throughout this internship, you will gain hands-on experience working with real-world data and analytical content.
You will learn how to:
Work with unstructured information and turn it into structured data
Define and apply classification frameworks
Perform basic qualitative and quantitative analysis
Communicate findings clearly through reports
Important:
Analytical skills
Attention to detail
Ability to work independently and stay organized
Strong written and spoken English
Preferred (nice to have):
Experience with spreadsheets or basic data analysis tools
Interest in analytics, research, or data-driven work
Familiarity with Slack or similar communication tools