Graduate Trainee – Research & Data Analytics
Job summary
Our client, a leading research company, is seeking a highly motivated Graduate Trainee – Research & Data Analytics to join their team. This opportunity is ideal for a recent graduate with a strong analytical mindset and a passion for research, data analysis, and emerging AI technologies. The successful candidate will support the design and executi
Job descriptions & requirements
Job Description
As a Graduate Trainee – Research & Data Analytics, you will support the planning, execution, and analysis of research projects while gaining practical experience in data analytics and AI-powered research tools. Working alongside experienced researchers and consultants, you will contribute to delivering high-quality insights that inform business and organizational decisions.
Key Responsibilities
Assist in designing research methodologies, questionnaires, and data collection tools.
Collect, clean, analyze, and interpret quantitative and qualitative data.
Use Microsoft Excel and other analytical tools to prepare datasets, dashboards, and reports.
Leverage AI tools to support literature reviews, data synthesis, and research workflows.
Prepare research reports, presentations, and actionable insights for clients.
Ensure data accuracy, integrity, and compliance with research standards.
Collaborate with team members on research projects and client assignments.
Candidate Requirements
Bachelor's degree in Statistics, Economics, Mathematics, Data Science, Research, Social Sciences, or a related quantitative field.
Recent graduate or up to one (1) year of relevant experience.
Strong analytical and problem-solving skills.
Proficiency in Microsoft Excel; knowledge of statistical or data visualization tools is an added advantage.
Interest in research methodologies, data analytics, and AI applications.
Excellent written and verbal communication skills.
Strong attention to detail, organizational skills, and ability to work independently and within a team.
Eagerness to learn and thrive in a fast-paced, collaborative environment.
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