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Research Executive - Dean's Office

Adelaide, South Australia
Customer Support / TeleCaller
#692790
Remote / WFH

Job Description

The Research Associate will work closely with faculty members and support academic research projects. The primary responsibility includes assisting professors in writing research papers by conducting statistical analysis, data interpretation, and ensuring methodological rigor. The ideal candidate should have strong analytical skills, proficiency in statistical tools, and a good understanding of research methodologies.
Key Responsibilities:
1. Research Support:
o Assist professors in designing research studies, formulating hypotheses, and developing research frameworks.
o Conduct literature reviews and summarize key findings for academic papers.
2. Data Analysis:
o Perform quantitative and qualitative data analysis using statistical software (e.g., SPSS, R, Python, Excel).
o Clean, manage, and interpret large datasets for research purposes.
o Apply appropriate statistical techniques (regression, ANOVA, factor analysis, etc.) to support research findings.
3. Research Paper Writing:
o Help in drafting, editing, and formatting research papers, reports, and case studies.
o Prepare tables, graphs, and visualizations to present data effectively.
o Ensure adherence to academic writing standards and citation styles (APA, MLA, Harvard, etc.).
4. Tool & Software Proficiency:
o Utilize research tools like Qualtrics, NVivo, or other survey/data collection platforms.
o Stay updated with the latest statistical and research methodologies.
5. Collaboration & Coordination:
o Work with faculty members, PhD scholars, and other researchers on joint projects.
o Attend research meetings and contribute to academic discussions.

Qualifications & Skills:
Educational Background:
o Master’s degree in Statistics, Economics, Business Analytics, MBA (with research focus), or related fields.
o Candidates pursuing PhD will be preferred.
Technical Skills:
o Strong knowledge of statistical concepts and research methodologies.
o Proficiency in statistical software (SPSS, R, Python, Excel).
o Familiarity with academic databases (Scopus, Web of Science, JSTOR).
Soft Skills:
o Excellent written and verbal communication skills.
o Attention to detail and ability to work independently.
o Strong organizational and time-management skills.

Experience:
Prior experience in academic research, data analysis, or assisting in research paper publication is preferred.
Freshers with strong statistical knowledge may also be considered.
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