Senior Data Analyst - Analytics & Business Intelligence

Job Description:

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.