• Develop and enhance interactive dashboards and reports using Power BI • Write and optimize queries in Databricks SQL to extract and transform data • Assist in data modeling and preparation for analytics and visualization • Collaborate with cross-functional teams to understand business requirements and deliver actionable insights • Participate in team meetings, knowledge-sharing sessions, and training activities throughout the program

We are looking for an experienced BI / Data Analytics professional with a strong background in building and leading data-driven solutions. In this role, you will combine hands-on expertise in data warehousing, SQL, and BI tools with the ability to guide a team and collaborate closely with business stakeholders. This position requires both technical depth and strong communication skills to ensure data is accurate, accessible, and effectively supports decision-making across the organization. Responsibilities - Lead the BI analysts team: distribute tasks, monitor deadlines, support career and professional development. - Act as the main point of contact for stakeholders (business units, product, finance, operations), identify their needs, clarify and formalize requirements for reporting and analytics. - Own and develop the user layer of the data warehouse: marts and business layer, ensure consistency and "single source of truth" for business users. - Minimize duplication of reports and metrics: introduce and enforce naming standards, KPI backlog, report and metadata catalog, monitor their relevance. - Organize and manage the process of accepting requests for reports and analytics, as well as prioritization within the business plan. - Monitor the quality and stability of reporting: send alerts, investigate incidents, participate in discussions of SLA and BI report metrics.

We are looking for an experienced BI / Data Analytics professional with a strong background in building and leading data-driven solutions. In this role, you will combine hands-on expertise in data warehousing, SQL, and BI tools with the ability to guide a team and collaborate closely with business stakeholders. This position requires both technical depth and strong communication skills to ensure data is accurate, accessible, and effectively supports decision-making across the organization. Responsibilities - Lead the BI analysts team: distribute tasks, monitor deadlines, support career and professional development. - Act as the main point of contact for stakeholders (business units, product, finance, operations), identify their needs, clarify and formalize requirements for reporting and analytics. - Own and develop the user layer of the data warehouse: marts and business layer, ensure consistency and "single source of truth" for business users. - Minimize duplication of reports and metrics: introduce and enforce naming standards, KPI backlog, report and metadata catalog, monitor their relevance. - Organize and manage the process of accepting requests for reports and analytics, as well as prioritization within the business plan. - Monitor the quality and stability of reporting: send alerts, investigate incidents, participate in discussions of SLA and BI report metrics.

We are looking for an experienced BI / Data Analytics professional with a strong background in building and leading data-driven solutions. In this role, you will combine hands-on expertise in data warehousing, SQL, and BI tools with the ability to guide a team and collaborate closely with business stakeholders. This position requires both technical depth and strong communication skills to ensure data is accurate, accessible, and effectively supports decision-making across the organization. Responsibilities - Lead the BI analysts team: distribute tasks, monitor deadlines, support career and professional development. - Act as the main point of contact for stakeholders (business units, product, finance, operations), identify their needs, clarify and formalize requirements for reporting and analytics. - Own and develop the user layer of the data warehouse: marts and business layer, ensure consistency and "single source of truth" for business users. - Minimize duplication of reports and metrics: introduce and enforce naming standards, KPI backlog, report and metadata catalog, monitor their relevance. - Organize and manage the process of accepting requests for reports and analytics, as well as prioritization within the business plan. - Monitor the quality and stability of reporting: send alerts, investigate incidents, participate in discussions of SLA and BI report metrics.