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About JetBrains
At JetBrains, we create tools that developers love. Since 2000, we’ve been building intelligent software that helps professionals write better code, work more efficiently, and focus on what matters most—creating.
Our products support millions of users worldwide, from individual developers to large organizations. Behind them is a global team that values autonomy, thoughtful engineering, and continuous improvement. We believe in making decisions based on data, and we invest in building reliable, accessible analytics to support teams across the company.
About the role
We are looking for an experienced Business Intelligence Analyst to support our Sales organization with reliable data, meaningful insights, and scalable analytics solutions. In this role, you’ll work closely with Sales stakeholders and our Data Office to define metrics, build reporting layers, and ensure high data quality and governance.
Your work will help Sales teams understand performance, identify opportunities, and make informed decisions.
What you’ll do:
We would be thrilled if you have:
Nice to have
Business Intelligence Analyst (m/w/d)
Berlin, Germany; Munich, Germany; Remote, Germany
About JetBrains
At JetBrains, we create tools that developers love. Since 2000, we’ve been building intelligent software that helps professionals write better code, work more efficiently, and focus on what matters most—creating.
Our products support millions of users worldwide, from individual developers to large organizations. Behind them is a global team that values autonomy, thoughtful engineering, and continuous improvement. We believe in making decisions based on data, and we invest in building reliable, accessible analytics to support teams across the company.
About the role
We are looking for an experienced Business Intelligence Analyst to support our Sales organization with reliable data, meaningful insights, and scalable analytics solutions. In this role, you’ll work closely with Sales stakeholders and our Data Office to define metrics, build reporting layers, and ensure high data quality and governance.
Your work will help Sales teams understand performance, identify opportunities, and make informed decisions.
What you’ll do:
- Partner with Sales stakeholders to define analytical requirements, metrics, and KPIs, and identify opportunities for improvement.
- Develop and maintain dashboards, reports, and visualizations that provide timely and actionable insights.
- Analyze revenue streams and contribute to forecasting using statistical, heuristic, or machine learning approaches.
- Perform exploratory and ad hoc analyses to support decision-making across Sales and related teams.
- Collaborate with data engineers to design and implement data marts, reporting layers, and ETL pipelines; contribute to our dbt-based analytics infrastructure.
- Support Sales Development and Lead Generation teams by analyzing experiments and campaign performance.
- Monitor data quality across reporting assets and work with data owners to resolve issues.
- Document metrics, dashboards, and data sources, and help stakeholders effectively use analytics tools.
- Promote self-service analytics by enabling teams to access and interpret data independently.
We would be thrilled if you have:
- Proven years of experience in a BI, data analysis, or similar analytical role.
- Strong SQL skills and experience with Python, R, or another relevant programming language.
- Experience with BI and visualization tools such as Tableau, Power BI, Qlik, DataLens, or similar.
- Understanding of data warehousing concepts, relational databases, and data processing workflows.
- Experience working with structured datasets and building reliable reporting solutions.
- Strong analytical thinking, attention to detail, and curiosity about data.
- Ability to communicate clearly with both technical and non-technical stakeholders.
- Professional working proficiency in English.
Nice to have
- Experience working with Sales, Marketing, or other go-to-market domains, especially in B2B environments.
- Hands-on experience building ETL pipelines and preparing datasets for analytics.
- Experience working with dbt or similar data transformation tools.
- Familiarity with data governance and data quality practices.
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