Senior Data Analyst - Analytics & Business Intelligence

: Support the Operations team as a Senior Data Analyst by leading the design, development, and maintenance of advanced data dashboards and performance reporting. You will be responsible for: - Building and automating complex Power BI reports and analytics solutions. - Integrating and transforming data from multiple sources via APIs and ETL pipelines. - Managing data workflows using Power Automate, PowerShell, and SharePoint. - Ensuring data quality, consistency, and reliability across all datasets and reports. - Monitoring operational KPIs and validating data used for performance tracking and decision-making. - Providing actionable insights and recommendations to business stakeholders. - Contributing to the evolution of our data ecosystem, working with cloud data platforms such as Snowflake and Azure/AWS, defining best practices for data governance, and supporting junior analysts in adopting robust analytics and data quality standards. Profile Requirements: - 6+ years of experience in data analytics, business intelligence, or operations performance (preferably in an international environment). - Proven experience in data quality management (data validation, reconciliation, anomaly detection, data governance practices). - Strong expertise in Power BI (advanced dashboarding, data modeling, DAX optimization, performance tuning). - Solid experience in reporting and process automation (Power Automate, PowerShell, SharePoint, scheduling and monitoring of data workflows). - Advanced Excel skills (complex formulas, pivot tables, Power Query, scenario analysis). - Strong SQL and query skills; ability to work with large datasets and optimize queries. - Hands-on experience with APIs and ETL pipelines for data integration from multiple systems. - Good knowledge of data lake / cloud platforms (Snowflake strongly preferred). - Experience with Azure and/or AWS data services (e.g., data storage, compute, integration tools). - Ability to translate business needs into analytical requirements and to challenge data and assumptions. - Strong communication skills and ability to collaborate with cross-functional teams.