About the job
About JetBrains
JetBrains is dedicated to developing tools that empower developers. Since our inception in 2000, we have provided intelligent software solutions that enable professionals to write better code, enhance productivity, and concentrate on what truly matters—creation.
Our products cater to millions of users globally, ranging from independent developers to large enterprises. Our success stems from a diverse team that prioritizes autonomy, thoughtful engineering, and ongoing improvement. We are committed to data-driven decision-making and invest in building robust, accessible analytics that support teams throughout the organization.
About the Role
We are seeking a proficient Business Intelligence Analyst to bolster our Sales organization with dependable data, insightful analysis, and scalable analytics solutions. In this position, you will collaborate closely with Sales stakeholders and our Data Office to define metrics, construct reporting frameworks, and uphold high standards of data quality and governance.
Your contributions will empower Sales teams to assess performance, uncover opportunities, and make data-informed decisions.
Your Responsibilities:
- Collaborate with Sales stakeholders to establish analytical needs, metrics, and KPIs, while identifying avenues for enhancement.
- Create and sustain dashboards, reports, and visualizations that deliver timely and actionable insights.
- Examine revenue streams and assist in forecasting using statistical, heuristic, or machine learning methodologies.
- Conduct exploratory and ad hoc analyses to facilitate decision-making across Sales and related departments.
- Partner with data engineers to design and implement data marts, reporting layers, and ETL pipelines; contribute to our dbt-based analytics ecosystem.
- Assist Sales Development and Lead Generation teams by analyzing experiments and campaign effectiveness.
- Oversee data quality across reporting assets and collaborate with data owners to address issues.
- Document metrics, dashboards, and data sources, and empower stakeholders to utilize analytics tools effectively.
- Encourage self-service analytics by enabling teams to independently access and interpret data.

