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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Intelligence & Data Analyst - **Company:** CAI, Inc. - **Location:** Hollywood, FL, United States - **Experience:** Experienced - **Salary:** $72,800.0 - $83,200.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Agile Methodology, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Database, Information Systems, Databases, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Dimensional Modeling, Document-Oriented Databases, Excel Formulas, Python (Programming Language), Microsoft Software, NumPy, Operational Data Store, Performance Tuning, Pivot Tables, Query Optimization, Power BI, Migration Manager, SQL Databases, Systems Integration, Workflow Management Systems, Data Processing, Cloud Platform System, Azure Data Factory, Sql Optimization, Powerquery, Pandas, Data Lakes, Information Technology, Data Analytics, Databricks - **Published:** October 22, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3464827931&tx=KP3535FFF&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role 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., * 3-5 years of experience in data analysis, business intelligence, or a similar role * Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Business, or a related field, or equivalent professional experience * Advanced proficiency in SQL, including complex joins, CTEs, window functions, and query optimization * Strong experience creating and maintaining reports and dashboards in Power BI, including DAX, data modeling, and row-level security * Advanced Excel skills, including pivot tables, Power Query, complex formulas, and data modeling * Working proficiency in Python for data manipulation, automation, and analysis, including pandas and NumPy * Advanced hands-on experience with Databricks, including organizing and hosting datasets, building notebooks, and connecting external data sources and BI tools * Experience connecting and integrating multiple databases and large datasets using Databricks * Proven experience migrating legacy data to cloud environments, including migration planning, execution, reconciliation, and validation * Demonstrated experience cleaning, transforming, standardizing, and organizing large, complex datasets * Ability to read and understand existing queries and develop queries to support business and reporting needs * Experience creating and maintaining recurring BI reports and analytics * Strong communication skills with the ability to serve as a liaison between technical and non-technical stakeholders, * Experience working with hospitality, hotel operations, guest experience, housekeeping, staffing, or similar operational datasets * Experience with Delta Lake, Unity Catalog, or Databricks SQL * Familiarity with Azure, AWS, or GCP * Exposure to ETL/ELT and orchestration tools such as Azure Data Factory, Airflow, or dbt * Understanding of star schemas, dimensional modeling, and data governance concepts * Experience working in an Agile product development environment * Databricks Certified Data Analyst Associate, Databricks Certified Data Engineer Associate, Microsoft PL-300, or similar certification Physical Demands * Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards * Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. * Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor ## 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 execute 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