Data Analyst

March 8

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Logo of NavAide

NavAide

NavAide is a company dedicated to fueling innovation and progress by bridging communities and technology. Known for its rapid growth, it made a notable appearance on the #Inc5000 list of America's fastest-growing companies. NavAide focuses on integration solutions, data analytics, automation, business process improvement, and digital transformation, with a special emphasis on Enterprise Resource Planning (ERP) and Contract Writing Systems (CWS). Additionally, it offers AI and Machine Learning solutions to enhance compliance, security, and operational needs and provides comprehensive energy solutions including global fuel distribution. These efforts are supported by Spark Labs, NavAide's innovation hub, which accelerates the journey from prototyping to deployment using cutting-edge technology.

Systems Engineering β€’ Legacy System Modernization β€’ Data Conversion β€’ Data Cleansing β€’ SAP Modernization

πŸ“‹ Description

β€’ We are seeking a highly skilled Data Analyst to join our team at Navaide. β€’ The ideal candidate will have a strong background in data analytics, with the ability to gather, analyze, and present complex datasets to guide informed decision-making. β€’ As a Data Analyst, you will support various projects by providing key insights, data-driven recommendations, and ensuring data accuracy across initiatives. β€’ Candidate must be able to obtain/maintain a DOD security clearance.

🎯 Requirements

β€’ Five plus years of experience in data analysis, preferably within consulting or DOD. β€’ Strong proficiency with data analysis and visualization tools such as SQL, Excel, Tableau, Power BI, or similar. β€’ Proven ability to work with large, complex datasets and derive actionable insights. β€’ Strong analytical and problem-solving skills with attention to detail. β€’ Experience with data modeling and database management. β€’ Excellent communication skills, with the ability to present technical findings to non-technical stakeholders. β€’ Familiarity with Python, R, or other programming languages for data analysis is a plus.

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