Senior Product Analyst (TeamCity)

JetBrains is a company founded in 2000 that develops developer tools. TeamCity is a CI/CD platform by JetBrains that automates software build, test, and deployment processes, serving a strong enterprise customer base. The TeamCity product is being modernized to support AI-native development and aims to deliver modern CI/CD capabilities enriched with pragmatic AI, while remaining reliable, secure, and enterprise-ready.

• Expertise in statistics and data analysis.
• Extensive experience with SQL and Python.
• At least two years of experience with Tableau, Power BI, or other BI tools.
• Strong data visualization and interpretation skills.
• Ability to operate independently and manage stakeholder expectations.
• Proactive identification of areas for product improvement and addressing challenges.
• Ability to distill complex analyses into clear, actionable recommendations for non-technical stakeholders.
• 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/B testing or experiment design.
• Experience leveraging AI tools to accelerate data analysis and analytics workflows.

• 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, including exploring user behavior and 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 maintain dashboards with product metrics using BI tools such as Metabase or Tableau.
• Evaluate the outcomes of product releases, analyzing what occurred after a new feature was launched.
• Conduct research analytics, investigating hypotheses and explaining metric changes after releases.
• Design and implement ETL pipelines and data models to enable complete, end-to-end analytics coverage.

We are an equal opportunity employer committed to creating an open and inclusive workplace welcoming everyone regardless of background, identity, religion, age, accessibility needs, or orientation.