MIAP Product Data Analyst

• 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

• 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)
• Linux and Windows operating systems
• Basic networking concepts such as IP addressing, DNS, ports, and connectivity troubleshooting

PREFERRED EDUCATION

• Bachelor's degree in Data Analytics, Computer Science, Information Systems, or a related field, or equivalent professional experience

Infonet Consulting Group is an Information Technology staffing firm based in South Florida with a passion to serve employers and job seekers.