Data Analyst – Global/Offshore

🔥 3 minutes ago

🐊 Florida – Remote

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⏰ Full Time

🟢 Junior

🟡 Mid-level

📉 Data Analyst

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Logo of MGT

MGT

501 - 1000 employees

Founded 1974

📚 Education

🔒 Cybersecurity

🏢 Enterprise

Education • Cybersecurity • Enterprise

MGT is a leading provider of specialized technology and advisory solutions focused on improving performance and efficiency in education systems, state and local government, and critical infrastructure. With over 50 years of experience, MGT combines advanced IT managed services with trusted advisory expertise to tackle mission-critical issues such as cybersecurity, data protection, and digital transformation. Their commitment to social impact drives their efforts to enhance communities by shaping educational practices and optimizing public services.

📋 Description

• Gather client metrics across the SIS business to be used in evaluating our impact and business strategy. • Identify, clean, merge, and filter datasets from multiple sources to generate high-quality cross-functional datasets. • Develop strategic data visualizations. • Create, deliver, and manage a client survey system to calculate key metrics to improve the delivery of solutions. • Develop scalable data systems using advanced tools such as coding programs and AI. • Support software development and maintenance. • Support data management and analysis in CRM platforms. • Translate analytic insights into clear business actions to ensure SIS makes well-informed decisions based on empirical evidence.

🎯 Requirements

• Bachelor’s degree from an accredited college or university • Two (2) or more years of experience in research, business intelligence, statistics, data analysis, or similar. • Experience creating basic reports or dashboards using Power BI, Tableau, or other business intelligence tools (e.g., Looker, Qlik, or similar). • Experience in coding programs such as Python, SQL, R, or similar. • Experience in building or analyzing data models using AI/ML tools to identify trends, generate insights, and support data-driven decision-making. • Experience in software development life cycle and data analytics. • Advanced or Native-level English fluency. • Ability to be available during U.S. business working hours (ET time zone).

🏖️ Benefits

• Flexible work arrangements • Professional development

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