JetBrains - Senior Product Analyst (TeamCity)

• 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 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, such as investigating hypotheses and 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. • We value product analysts who: • Operate independently and manage stakeholder expectations – as the first dedicated analyst on the team, you will help shape a data-informed culture and establish how the team works with data. • Proactively identify areas for product improvement, raise questions, and address existing challenges. • Can distill complex analyses into clear, actionable recommendations for non-technical stakeholders. • Have a solid foundation in statistics, including sampling techniques and understanding sampling errors, since data is gathered from a sample of product users. • Have data engineering skills, including experience designing ETLs and data pipelines to enable the creation of complete, end-to-end dashboards. • We’ll be happy to have you on our team if you have: • 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. • We’d be especially thrilled if you: • Have experience working with developer tools, DevOps products, or CI/CD workflows. • Have a background in A/B testing or experiment design. • Have experience leveraging AI tools to accelerate data analysis and analytics workflows. • In the Data Analytics team, we use: • SQL for data querying. • Python for data processing and analysis. • Tableau and Metabase for data visualization. • Datalore and Excel for analytical reports.