
11 - 50 employees
Founded 2020
🤝 B2B
📚 Education
🎯 Recruiter
B2B • Education • Recruitment
Jobs for Humanity is an organization dedicated to promoting diversity and inclusion in the workforce by connecting underrepresented job seekers with employers. They focus on providing resources and training to enhance the hiring experience for individuals from marginalized groups, including those with disabilities, veterans, and minority communities. By facilitating equitable job opportunities, Jobs for Humanity aims to unlock untapped potential in the job market and foster inclusive hiring practices.
🕒 March 20
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11 - 50 employees
Founded 2020
🤝 B2B
📚 Education
🎯 Recruiter
B2B • Education • Recruitment
Jobs for Humanity is an organization dedicated to promoting diversity and inclusion in the workforce by connecting underrepresented job seekers with employers. They focus on providing resources and training to enhance the hiring experience for individuals from marginalized groups, including those with disabilities, veterans, and minority communities. By facilitating equitable job opportunities, Jobs for Humanity aims to unlock untapped potential in the job market and foster inclusive hiring practices.
• Gather data from various sources, including monthly SLA reporting, Raw data files, BI Dashboards, Transformation benefits. • Analyze SLA data / Transformation benefits to identify patterns, and insights that can help propose changes on SLA metrics as well as to control Transformation project benefit realization. • Generate and present reports on SLA performance, Transformation benefits including metrics such as CSAT/resource utilization and Benefit realization. • Prepare and maintain documentation related to data analysis processes and findings.
• Bachelor’s degree in related field. • Proficiency in data analysis tools and software (e.g. MS Word, Excel, PowerPoint, Power BI, MS Access, Copilot etc.). • Strong ability to analyze complex data sets and generate actionable insights. • Excellent verbal and written communication skills to present data findings effectively.
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