JetBrains
SeniorProductAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Product Analyst at JetBrains. Skills: SQL, Python, Tableau, Metabase, statistics, data analysis, data engineering. Perform ad hoc data analysis to support product decisions. exploring user behavior”
What You'll Achieve.
help shape a data-informed culture; establish how the team works with data
Industry & Context.
Proactively identify areas for product improvement; raise questions; address existing challenges; distill complex analyses into clear, actionable recommendations
What They're Looking For.
Must Have
Expertise in statistics and data analysis, Extensive experience with SQL, Extensive experience with Python, At least two years of experience with Tableau, Power BI, or other BI tools, data visualization and interpretation skills, solid foundation in statistics, including sampling techniques and understanding sampling errors, data engineering skills, including experience designing ETLs and data pipelines
Nice to Have
experience working with developer tools, DevOps products, or CI/CD workflows, background in A testing or experiment design, experience leveraging AI tools to accelerate data analysis and analytics workflows
What You'll Do.
Perform ad hoc data analysis to support product decisions
exploring user behavior
validating assumptions behind new feature development
Establish and promote best practices for working with data within the team
Maintain and develop the product metrics framework to evaluate product performance
Build and maintain dashboards with product metrics using BI tools
Evaluate the outcomes of product releases
analyzing what occurred after a new feature was launched
Conduct research analytics
investigating hypotheses
explaining why one metric decreased while another increased after a release
Design and implement ETL pipelines and data models to enable complete
end-to-end analytics coverage
How You'll Work.
Team & Collaboration
Be fully integrated into the product team; collaborating with product managers, developers, and other technical experts
Communication Scope
Can distill complex analyses into clear, actionable recommendations for non-technical stakeholders
Full Job Description
At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create. JetBrains TeamCity is a CI/CD platform that automates software build, test, and deployment processes. It has a long history and a strong enterprise customer base. TeamCity is one of the most powerful and flexible tools on the market, and that flexibility is especially valuable as AI agents take on more development tasks and need reliable automation under the hood. At the same time, TeamCity is being modernized to meet the evolving needs of AI-native development. TeamCity’s mission is to deliver the full power and flexibility of modern CI/CD, enriched with pragmatic AI and exposed through an agentic layer that helps handle the domain’s complexity, while remaining reliable, secure, enterprise-ready, and fully under customer control. The team has been building a data-informed culture, leveraging usage data from both on-premises and cloud offerings. The next step is deepening the role of data in the product team's day-to-day decisions. We are currently looking for a Senior Product Analyst to join the team and support these efforts. You will be part of the Data Analytics team within JetBrains Central, while working as a dedicated analyst embedded in the TeamCity product team. In this role, you will: Be fully integrated into the product team, collaborating with product managers, developers, and other technical experts. Perform ad hoc data analysis to support product decisions, from exploring user behavior to validating assumptions behind new feature development. Establish and promote best practices for working with data within the team, including event logging design, consistency, and data quality. Maintain and develop the product metrics framework to evaluate product performance. Build and maintai
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