Senior Business Intelligence Analyst

Overview

• Lead the development of advanced business intelligence solutions to drive strategic decision-making and operational efficiency.
• Collaborate with cross-functional teams to identify analytics opportunities and implement innovative data-driven solutions.
• Transform complex datasets into actionable insights through cutting-edge reporting and visualization tools.
• Evaluate and integrate emerging AI and analytics technologies to enhance user experiences and solution capabilities.
• Oversee the end-to-end lifecycle of business intelligence projects, ensuring timely and quality delivery.
• Research and recommend innovative tools and methodologies to improve organizational analytics performance.
• Ensure compliance with data security and governance standards in all analytics initiatives.
• Contribute to the continuous improvement of analytics processes and best practices.

Key Responsibilities & Duties

• Design and maintain interactive dashboards and visualizations to support data-driven decision-making across the organization.
• Collaborate with stakeholders to identify and implement process improvements through advanced analytics.
• Integrate AI capabilities into business intelligence solutions to enhance functionality and user experience.
• Prepare and transform complex datasets for reporting and advanced analytics applications.
• Lead all phases of BI development, including requirements gathering, design, deployment, and maintenance.
• Evaluate and recommend new BI technologies to advance organizational analytics capabilities.
• Ensure adherence to security protocols and governance standards in all analytics projects.
• Maintain compliance with SDLC methodologies and best practices to ensure project success.

Job Requirements

• Bachelor's degree in a relevant field from an accredited institution.
• Minimum of 5 years' experience in business intelligence, analytics, or data engineering roles.
• Proficiency in Power BI, SQL, Python or R, and REST-based APIs.
• Strong knowledge of data modeling, semantic-layer design, and advanced SQL/T-SQL techniques.
• Familiarity with Azure AD authentication and row-level security implementation is preferred.
• Understanding of data governance, quality, and responsible data management practices.
• Ability to work independently and lead projects effectively in a hybrid work environment.
• Experience in the legal industry is preferred but not mandatory.