Stephen Amasiatu

Data Analyst @Clap Academy

Conducted thorough data analysis to evaluate gender inequality within the organization across three regions, examining gender distribution and identifying potential discrepancies.• Analyzed employee performance ratings with a focus on comparing outcomes between women and men across various locations and departments, providing insights into possible variations or biases.• Examined and assessed the allocation of bonus salaries based on performance ratings to ensure fairness and transparency in rewarding employees.• Evaluated the company’s salary structure to detect any gender-based pay gaps across departments, regions, and company-wide, advocating for equal pay for equal work.• Used statistical methods and data visualization tools to present findings on gender pay disparities, facilitating data-driven decision-making and potential corrective measures.• Conducted a thorough analysis of the company\'s compliance with minimum wage requirements in the manufacturing sector, ensuring adherence to legal obligations and equitable compensation practices.• Prepared detailed reports and presentations to communicate analysis results, recommendations, and opportunities for improvement to stakeholders at various levels.Achievements:• Identified gender disparities within the organization through data analysis, leading to the elimination of perceptions of the company as patriarchal and the implementation of targeted initiatives that enhanced gender equality across all regions.• Conducted a comprehensive review of performance ratings and bonus allocations, resulting in a more equitable distribution of rewards based on employee performance and a 30% increase in employee motivation and satisfaction.• Highlighted areas for improvement in minimum wage compliance, with insights showing discrepancies in meeting the minimum wage requirement. This awareness led to corrective actions to ensure all employees received fair compensation.