Job Description Help for Job Description. Opens a new window. Business Intelligence & Data Analyst Req number: R8795 Employment type: Full time Worksite flexibility: Onsite Who we are CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We are looking for a motivated Business Intelligence & Data Analyst ready to take us to the next level! If you have advanced SQL, Databricks, and Power BI experience and are looking for your next career move, apply now. Job Description We are looking for a Business Intelligence & Data Analyst to support business intelligence, data analytics, cloud data migration, and reporting initiatives. This role will work closely with Product and Engineering teams to connect and organize large datasets, migrate legacy data to the cloud, create and maintain reports, and translate complex business needs into actionable insights. This position will be a contract and onsite in Miramar, FL. Due to the specific legal and contractual requirements associated with this position, this role will be direct employment with CAI. This position does not offer work authorization sponsorship now or in the future. What You'll Do

• Plan and migration of legacy data sources and databases to the cloud, ensuring data accuracy, completeness, and minimal business disruption
• Validate migrated data through reconciliation checks and document data migration processes and lineage
• Identify and support the retirement of redundant or outdated legacy data assets
• Host, organize, and manage large datasets within Databricks, including tables, schemas, workspaces, and notebooks
• Connect Databricks with upstream and downstream databases, applications, and BI tools
• Build and optimize queries, notebooks, and workflows using SQL and Python
• Partner with Data Engineering teams on pipeline design, performance tuning, and data access
• Clean, transform, standardize, and organize large datasets from multiple sources
• Establish and maintain data quality checks, naming conventions, and supporting documentation
• Troubleshoot data discrepancies and identify root causes
• Create and maintain dashboards and recurring reports using Power BI and Excel
• Translate business questions into meaningful metrics, KPIs, reports, and visualizations
• Ensure reporting is accurate, performant, and refreshed according to business requirements
• Use operational data to support business decisions such as staffing levels, room-cleaning requirements, food supply planning, and resource allocation
• Work as a liaison between Product and Engineering teams, translating business requirements into technical specifications and communicating technical constraints to business stakeholders
• Gather requirements, prioritize requests, manage stakeholder expectations, and present findings to technical and non-technical audiences