Data Analyst

Job not on LinkedIn

🕒 June 13

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Logo of Global Radiance Review

Global Radiance Review

11 - 50 employees

Founded 2019

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Global Radiance Review is a trusted online and print network for business and technology professionals, connecting C-level executives, IT managers, and other industry leaders. It focuses on sharing insights, lessons learned, and innovative strategies through articles that cover a wide range of topics including technology trends, branding, and executive decision-making in various sectors.

📋 Description

• Perform data mining, data preparation, analysis, and reporting activities • Conduct studies, assessments, and analytical reviews to support customer requirements • Evaluate data quality, accuracy, and completeness to support sound decision-making • Develop reports, dashboards, visualizations, and analytical products • Prepare and organize datasets for analytical and modeling activities • Support implementation of data models and analytical solutions • Provide database and data management support • Document findings and present recommendations to stakeholders • Collaborate with data scientists, engineers, and customers to address mission challenges • Identify opportunities for process improvement and automation • Participate in Agile project activities and team collaboration efforts

🎯 Requirements

• Bachelor's degree in: Data Science, Statistics, Applied Mathematics, Computer Science, Operations Research, or a related quantitative discipline • Five (5) years of experience in applied research, big data analytics, statistics, data science, computer science, operations research, or related quantitative disciplines • Two (2) years supporting applied data science research or big data analytics • Experience preparing, analyzing, and managing large datasets • Experience developing reports, analyses, and recommendations for stakeholders • Knowledge of data mining, databases, data visualization, and machine learning concepts • Ability to communicate analytical findings to technical and non-technical audiences • Strong analytical, problem-solving, and critical-thinking skills • Experience developing data-driven reports and visualizations

🏖️ Benefits

• 100% Employee-Owned (ESOP) • Remote Work Flexibility • Meaningful National Security Mission • Exposure to Advanced Analytics and AI Technologies • Career Growth and Professional Development • Collaborative and Innovative Culture • Competitive Compensation and Benefits

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