Senior Product Analyst (TeamCity)

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 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.