Hybrid Cloud Systems Analyst - Data Integration

Fresh Express Salads; Windermere (FL); Hybrid; USD 70,000 - 100,000; Full time

Benefits offered by this job

Hybrid work environment

Job summary

Fresh Express Salads in Florida is seeking a proactive Systems Analyst to bridge legacy data integrations with modern cloud analytics. You will help maintain critical integrations and contribute to transitioning to Microsoft Fabric and Gen2 reporting.

The role requires 2–4 years in systems analysis or data integration, strong MSSQL skills, and experience with Python/PowerShell for automation. A hybrid work environment is supported.

Qualifications

• 2–4 years of experience in systems analysis or data integration roles.
• Strong MSSQL query writing and stored procedures experience.
• Familiarity with ETL processes and data synchronization strategies.
• Experience with Power BI, Power Query, and cloud data platforms is a plus.

Responsibilities

• Monitor, troubleshoot, and optimize existing data integration workflows.
• Assist in migrating from legacy platforms to cloud-native solutions.
• Support migration of reporting workflows to Gen2 and Microsoft Fabric.
• Develop automation scripts (Python, PowerShell) for admin tasks.
• Collaborate with senior team members to design robust interfaces.
• Document integration logic, configurations, and SOPs for knowledge sharing.

Skills

SQL MSSQL

Python

PowerShell

Power BI

Power Query

ETL

Data integration

Cloud analytics

Education

Bachelor's degree in Computer Science, Information Systems, or related field

Tools

IBM iSeries/DB2

Job description

Fresh Express Salads in Florida is seeking a proactive Systems Analyst to bridge legacy data integrations with modern cloud analytics. You will help maintain critical integrations and contribute to transitioning to Microsoft Fabric and Gen2 reporting.

The role requires 2–4 years in systems analysis or data integration, strong MSSQL skills, and experience with Python/PowerShell for automation. A hybrid work environment is supported.