The Senior Business Intelligence Analyst is responsible for maintaining, enhancing, and evolving the Business Intelligence platform to ensure reliability, consistency, and scalability of data used for operational and strategic decision-making. This role translates complex business requirements into standardized KPIs, dimensional models, and scalable data structures. The position plays a critical role in enabling data-driven decisions by ensuring data integrity, performance optimization, and governance across dashboards and analytical outputs.
 
Key Responsibilities: 
•           Design, develop, and maintain dashboards and analytical models used by operational and executive teams.
•           Translate business requirements into well-defined metrics, standardized KPIs, and scalable data structures.
•           Develop, optimize, and tune complex SQL queries across large datasets.
•           Ensure data quality, consistency, and integrity across reports and analytical outputs.
•           Partner with Data Engineering to improve data models, pipelines, and overall warehouse architecture.
•           Contribute to the design and enhancement of data marts and semantic layers.
•           Analyze trends, identify anomalies, and provide actionable insights to stakeholders.
•           Document metric definitions, business logic, and data models to ensure transparency and governance.
•           Improve dashboard performance and optimize query execution times.
 
Qualifications: 
4+ years of experience in Business Intelligence, Analytics, or related roles.
Advanced English B2+ or C1 (85-90%)
Advanced experience SQL and query performance optimization. Ability to work with large datasets and optimize performance.
Experience working with enterprise Data Warehouses (SQL Server, Databricks, Snowflake or similar).
Experience with Dashboard design and BI visualization tools (Tableau, Power BI, or similar).
Experience working with operational performance metrics (SLAs, efficiency, cost analysis, etc.).
Experience with Dimensional data modeling (star schema, SCD, fact/dimension design).
KPI definition, metric standardization, and business logic documentation. Ability to challenge and refine metric definitions constructively.
Strong analytical and structured thinking.
Deep understanding of operational processes and performance metrics.
High attention to detail and commitment to data accuracy.
Self-driven and capable of working independently in a fast-paced environment.
Clear and effective communicator with both technical and non-technical stakeholders.

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