Data Analyst

CAI•Miramar, FL

4d•Onsite

About The Position

We are looking for a motivated Data Analyst ready to take us to the next level! If you have strong technical skills in Python, SQL, and ETL processes, as well as experience in Linux-based environments, and are looking for your next career move, apply now. We are looking for a Data Analyst to support data-driven decision-making across the organization. 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.

Requirements

Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or a related field, or equivalent professional experience
3–5+ years of professional experience in a data analyst or similar technical role
Strong proficiency in Python for data analysis, scripting, and automation
Solid experience with SQL, including complex queries, joins, aggregations, and performance considerations
Hands-on experience designing and maintaining ETL workflows from multiple data sources
Comfortable working in Linux/Unix operating systems, including command-line usage and basic system troubleshooting
Experience with scripting (Python, Bash, or shell scripting)
Foundational IT knowledge, including: Linux and Windows operating systems and basic networking concepts such as IP addressing, DNS, ports, and connectivity troubleshooting
Ability to work independently while managing multiple priorities
Strong analytical, problem-solving, and troubleshooting skills
Effective written and verbal communication skills

Responsibilities

Collect, clean, transform, and analyze data from multiple structured and semi-structured sources
Design, build, and maintain ETL pipelines that ingest data from databases, APIs, flat files, and other sources
Write and optimize SQL queries to support analytics, reporting, and operational needs
Develop and maintain Python scripts for data processing, automation, and validation
Operate within Linux/Unix environments to manage scripts, review logs, schedule jobs, and troubleshoot issues
Perform data quality checks and resolve data integrity issues
Produce recurring reports and perform ad hoc analyses to support business and technical stakeholders
Collaborate with engineering, IT, and business teams to resolve data availability or performance issues
Document data sources, pipelines, scripts, and operational processes
Contribute to improving data processes, automation, and best practices