Senior Business Intelligence Analyst

About the role

The Senior Business Intelligence Analyst develops reporting solutions, automates business processes and delivers data-driven insights that support strategic decisions across the Claims organization. The role partners with business stakeholders to design and implement scalable analytics solutions and improve reporting capabilities. It requires strong expertise in Power BI, SQL, data analysis and stakeholder engagement.

Key responsibilities

• Design, develop, test, implement and maintain Power BI dashboards, reports and data visualizations.
• Analyze large and complex datasets to identify trends, risks, opportunities and key performance indicators.
• Develop and optimize SQL queries, data models and reporting processes.
• Identify and implement reporting automation opportunities to improve efficiency, data accuracy and reduce manual effort.
• Partner with stakeholders to gather requirements and deliver reporting and analytics solutions.
• Lead reporting and analytical projects from requirements gathering through to implementation and support.
• Present analytical findings to technical and non-technical audiences.
• Support forecasting, predictive analytics and other advanced analytics initiatives.
• Share knowledge with junior analysts and other team members.

Required profile

• 4+ years of experience in business intelligence, reporting, analytics or a related field.
• 3+ years developing reports, dashboards and data visualizations with Microsoft Power BI.
• Experience gathering business requirements and turning them into reporting and analytics solutions.
• Experience with data warehouses, semantic models and enterprise reporting environments.
• Advanced English (written and verbal).

Required skills

• Advanced SQL, querying, transforming and analyzing data from multiple sources.
• Power BI.
• Nice to have: a bachelor's degree in Business Analytics, Computer Science, Mathematics, Statistics, Engineering or a related field; predictive analytics, forecasting or statistical modeling; experience in insurance, claims, financial services or similar data-intensive industries; experience leading cross-functional projects.