Overview
Data Analyst-Diversity Equity Inclusion and Health Equity (Remote, North Carolina Based) Jobs in United States at Talentify.io
Title: Data Analyst-Diversity Equity Inclusion and Health Equity (Remote, North Carolina Based)
Company: Talentify.io
Location: United States
Employer Industry: Healthcare and Diversity, Equity, and Inclusion (DEI)
Why Consider This Job Opportunity
Salary up to $76,024 annually
Excellent fringe benefit package, including medical, dental, vision, life, and long-term disability insurance
Generous retirement savings plan
Flexible work schedules, including hybrid and remote options
Opportunity to influence DEI and health equity initiatives within the organization
Engaging work environment that promotes continuous improvement and impact assessment
What To Expect (Job Responsibilities)
Create, analyze, and interpret metrics and raw data to assess the effectiveness of DEI and health equity initiatives
Develop dashboards, scorecards, and key performance indicators (KPIs) to measure progress on DEI and health equity goals
Partner with internal teams to inform strategic decision-making and support health equity initiatives
Deliver engaging presentations to internal and external stakeholders
Regularly assess the effectiveness of DEI and health equity programs, providing data-driven recommendations for improvements
What Is Required (Qualifications)
Bachelor’s degree from an accredited college or university in Social Sciences, Public Health, Data Analysis, or a related field
Three (3) years of experience in a data analyst role, including data gathering, cleansing, statistical analysis, and visualization
Proven experience in data storytelling and visualization, preferably in DEI or health equity contexts
Proficient in Microsoft Office Suite, including Word, Excel, and PowerPoint
Excellent written and verbal communication skills
How To Stand Out (Preferred Qualifications)
DEI, Health Equity, or Data Science Certification
Experience in healthcare, nonprofit, government, or corporate DEI initiatives
Familiarity with programming languages such as Python, R, or SQL for data analysis
Experience with survey and evaluation design, data collection, and analysis
Strong graphic design skills with experience in Adobe InDesign or similar programs
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