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 contractual requirements associated with this role, 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Identify and support the retirement of redundant or outdated legacy data assets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 maintai