Junior Data Analyst

Job not on LinkedIn

🕒 June 13

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Global Radiance Review

WebsiteLinkedInAll Job Openings

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

• Analyze datasets to identify trends, patterns, and actionable insights. • Support data extraction, transformation, and loading (ETL) activities. • Assist with the development, testing, and implementation of analytical tools and software. • Prepare data for analytics, reporting, and machine learning initiatives. • Support data scientists and analysts in research, modeling, and analytical projects. • Develop reports, dashboards, and technical documentation. • Perform data quality reviews and validation activities. • Identify opportunities for process improvement and automation. • Communicate analytical findings to technical and non-technical stakeholders. • Participate in Agile development activities and team collaboration efforts.

🎯 Requirements

• Bachelor's degree in: Data Science, Statistics, Mathematics, Computer Science, Operations Research, Information Systems, Analytics, or a related quantitative discipline • Two (2) years of relevant experience in analytics, business intelligence, data science, statistics, computer science, operations research, or related fields. • A Master's degree in a related field may substitute for required experience. • Understanding of data analytics, statistics, data visualization, and databases. • Familiarity with programming or scripting languages used in analytics environments. • Strong analytical, problem-solving, and communication skills. • Ability to work effectively in a collaborative team environment. • Strong attention to detail and willingness to learn new technologies.

🏖️ Benefits

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