Data Research Analyst

About the job Job Role: Data Research Analyst (Non-Paid, Experience Gain for Career Enhancement) Organization: Grace Ladies Global Academy USA Location: Remote (Work from Anywhere) Duration: 3–6 Months (Flexible) Type: For College Students Only (Non-Paid) About the Role: Grace Ladies Global Academy USA (www.thegraceladies.com) is inviting applications for the Data Research Analyst position. This fellowship is designed for individuals passionate about research, analysis, and the generation of actionable insights to support our global projects. As a non-paid, you will conduct in-depth research, collect reliable data as directed, and provide evidence-based recommendations to strengthen our international initiatives and strategies. Key Responsibilities: ✅ Conduct primary and secondary research on topics related to education, entrepreneurship, and social development. ✅ Collect, analyze, and interpret data from credible sources. ✅ Prepare structured research reports, white papers, and knowledge briefs. ✅ Identify global and regional trends to support decision-making. ✅ Collaborate with project teams to provide data-backed insights. ✅ Maintain high ethical standards in research and data handling. Learning Outcomes & Benefits: ✨ Gain real-world experience in research and data-driven policy support. ✨ Receive commission-based incentives for impactful research contributions. ✨ Publish research work or reports with attribution under the academy’s banner. ✨ Build a strong academic and professional portfolio. ✨ Network with global professionals, educators, and leaders. ✨ Receive a Fellowship Certificate and potential Letter of Recommendation upon successful completion. Requirements: Currently pursuing or recently completed a degree in IT, AI, Social Sciences, Development Studies, Business, Data Science, Data Analytics, or related fields. Strong research, analytical, and writing skills. Proficiency in MS Office/Google Suite (experience with research databases is a plus). Excellent communication and presentation abilities.

Ability to work independently in a remote environment. Join us as a Data Research Analyst and contribute to creating a lasting global impact through research and innovation!