Cloud Data Analyst: Dashboards, Pipelines & Insights

Cloud Hub IT Solutions Inc; Fort Myers (FL); Hybrid; USD 101.000 - 136.000; Vollzeit

Zusammenfassung

Cloud Hub IT Solutions Inc. in Fort Myers, FL seeks a Data Analyst for a full-time role (40 hours/week). The position offers a salary of $118,789 per year and involves data analysis, dashboard development, and data pipeline work across cloud and on-prem environments.

You will collaborate with cross-functional teams to ingest, clean, harmonize, and democratize data for enterprise use, design data models, and automate reports. Some travel to client sites in the USA is required.

Qualifikationen

• Master's or Bachelor's in CS/IS/IT/Engineering/Business or related field.
• Six months of experience in data analysis required.
• Willingness to travel/relocate to client sites in the USA.
• Experience with data analysis and data pipelines is preferred.

Aufgaben

• Perform data analysis and workflow analysis.
• Create current/future state data flow diagrams.
• Assess business impact of changes or enhancements.
• Feasibility analysis of real-time and micro-batch data pipelines in cloud and on-prem.
• Analyze disparate data sources and develop ingestion, cleaning, harmonization strategies.
• Design self-service dashboards and data models.
• Set up job schedules and automate reports.
• Travel to client sites in the USA as needed.

Kenntnisse

Data analysis

Workflow analysis

Data pipelines

Dashboard design

Data modeling

Ausbildung

Master's degree in Computer Science / Computer Information Systems / Information Technology / Engineering / Business

Bachelor's degree in Computer Science / Computer Information Systems / Information Technology / Engineering / Business

Jobbeschreibung

Cloud Hub IT Solutions Inc. in Fort Myers, FL seeks a Data Analyst for a full-time role (40 hours/week). The position offers a salary of $118,789 per year and involves data analysis, dashboard development, and data pipeline work across cloud and on-prem environments.

You will collaborate with cross-functional teams to ingest, clean, harmonize, and democratize data for enterprise use, design data models, and automate reports. Some travel to client sites in the USA is required.