Data Analyst – Program Evaluation
Location: Detroit, MI (Hybrid)
Pay Rate: $39.80/hour
Schedule: Full-Time - Supplier Sourced

We are seeking a highly skilled Data Analyst to support program evaluation, performance monitoring, and data-driven decision-making. This hybrid position based in Detroit, MI offers an opportunity to work on impactful community-focused initiatives in collaboration with internal teams and external partners.

Key Responsibilities

Data Analysis & Reporting

• Collect, analyze, and interpret program-related data.

• Develop and maintain dashboards, reports, and visualizations to communicate findings.

• Conduct statistical analysis to uncover trends and opportunities for improvement.

• Maintain data accuracy and integrity through quality control processes.

Program Evaluation & Performance Monitoring

• Design and implement performance metrics to assess program success.

• Conduct literature reviews and research to identify best practices.

• Assist in developing program improvement recommendations based on evaluation results.

Collaboration & Communication

• Work closely with program staff, community partners, and stakeholders to gather relevant data.

• Communicate insights through written reports, presentations, and verbal briefings.

• Provide training and technical assistance to team members on data tools and analysis techniques.

• Engage with community members to ensure data collection and analysis align with their needs.

Qualifications

Education:

• Bachelor’s degree required (in a related field such as Public Policy, Social Sciences, Statistics, or Data Science preferred).

Experience:

• Minimum of 5 years in an analytical, research, or program evaluation role.

• Proven ability to perform data analysis, statistical modeling, and reporting.

• Experience with tools such as Excel, SPSS, R, SQL, or Power BI.

• Experience working with diverse populations.

Skills:

• Strong analytical and problem-solving abilities.

• Excellent written and verbal communication skills.

• Ability to manage multiple projects independently and collaboratively.

• High attention to detail and strong organizational skills.

• Proficient in Microsoft Office Suite, especially Excel, PowerPoint, and Power BI.

• Ability to handle sensitive information with discretion and maintain confidentiality.