This research paper presents a comprehensive study on job analysis and job description preparation conducted at Nemi Power Solutions, Coimbatore. Job analysis forms the foundation of effective human resource management by systematically collecting and analyzing information about job content, requirements, and context. Accurate job descriptions derived from thorough job analysis ensure employees understand their roles and responsibilities clearly. This study employed a quantitative research design using a structured questionnaire administered to 131 employees through convenience sampling. The research examined employee perceptions regarding job description accuracy, role alignment with company goals, skill utilization, workload manageability, performance feedback, career advancement opportunities, and overall job satisfaction. Data analysis was conducted using Microsoft Excel with statistical tools including percentage analysis, frequency distribution, cross tabulation, and visual representations through charts and tables. Key findings reveal that while 52.1% of respondents report occasional job description updates, 21.4% state their descriptions are never updated. Approximately 45.3% of employees feel their skills are utilized only sometimes. The study identifies significant relationships between job description accuracy, role clarity, and employee satisfaction. Recommendations include regular job description updates, improved skill utilization, enhanced performance feedback systems, better workload distribution, and clearer career advancement communication.
IRE Journals:
S. Ragavendra, Dr. N. Deepa "A Study On Job Analysis and Job Description Preparation at Nemi Power Solutions Company at Coimbatore" Iconic Research And Engineering Journals Volume 9 Issue 9 2026 Page 1063-1067 https://doi.org/10.64388/IREV9I9-1715120
IEEE:
S. Ragavendra, Dr. N. Deepa
"A Study On Job Analysis and Job Description Preparation at Nemi Power Solutions Company at Coimbatore" Iconic Research And Engineering Journals, 9(9) https://doi.org/10.64388/IREV9I9-1715120