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.

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.

Business Intelligence Analyst

Key skills