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
Min. qualification
Bachelors
Experience level
Internship & Graduate
Experience length
No Experience/Less than 1 year
Language
English
Working hours
Full Time - 8 to 5
Applicant location
Nairobi, Kenya
Job description & 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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