The Senior Business Intelligence Analyst is a senior client-facing role at the core of our growing Data & AI practice. You'll design and deliver modern analytics solutions, blend business intelligence with predictive insights, and collaborate directly with business leaders and technical teams to drive data-driven outcomes that create measurable business value. This role works hands-on with advanced technologies like Microsoft Fabric, Databricks, and Snowflake, while also leveraging AI and ML models to enhance and enrich client-facing reporting solutions. Required Experience 5 years in business intelligence, analytics, or data consulting roles. Expert-level hands-on experience with Power BI (DAX, semantic modeling, Tabular Editor). Tableau development experience for building client-facing dashboards. Strong SQL expertise for data querying, validation, and troubleshooting. Direct experience integrating machine learning or predictive analytics into BI solutions. Strong client-facing consulting skills with the ability to lead solution discussions. Ability to engage both technical and business audiences and drive collaborative solutions. Demonstrated ability to surface actionable insights from large, disparate data sources, with a focus on connecting analytical findings directly to measurable business outcomes. Preferred Experience. Experience with cloud-native platforms such as Microsoft Fabric, Databricks, Snowflake, or Synapse. Familiarity with Python or similar scripting languages for ML integration, APIs, or automation. Understanding of AI/ ML model deployment pipelines and real-time predictive scoring. Knowledge of data governance, security, and compliance frameworks. Previous experience in consulting or professional services settings. Industry experience in Manufacturing, Printing & Packaging, Construction, or Banking/ Finance. Education. Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, Finance or related fields (or equivalent experience).