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Internship Social Work Data Analyst Jobs (NOW HIRING)

The Pennsylvania State University

Mentor undergraduate- and graduate-level interns and fellows on developing and executing analytic ... Curiosity and a generalist attitude with interest in diverse social policy issues * Ability to work ...

Rogue Fitness

Data Analyst

Columbus, OH · On-site

Remote work is not available. Applicants must be authorized to work in the United States for any ... internships, or projects are encouraged to apply * Working knowledge of SQL (writing queries, joins ...

Seen Health

Social Work Assistant

Alhambra, CA · On-site

We are also building a comprehensive operating system focused on data and workflows that span ... The Social Work Assistant functions as a liaison between the participants, their family members ...

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How much do internship social work data analyst jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for internship social work data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

How does an Internship Social Work Data Analyst typically collaborate with social workers and program staff?

Internship Social Work Data Analysts often work closely with social workers and program staff to gather, interpret, and present data related to client outcomes and program effectiveness. Collaboration involves attending team meetings, discussing data needs, and translating complex data findings into actionable insights that can improve service delivery. Effective communication skills are essential, as analysts bridge the gap between technical data analysis and practical, frontline social work. This teamwork not only enhances data-driven decision-making but also provides interns with a comprehensive view of how data supports organizational goals.

What does an Internship Social Work Data Analyst do?

An Internship Social Work Data Analyst assists social work organizations by collecting, analyzing, and interpreting data related to social services, client outcomes, and program effectiveness. They use statistical tools and software to identify trends and help improve service delivery. Interns might also help create reports, visualize data, and support decision-making processes within social work teams. This role provides valuable experience in applying analytical skills to real-world social issues while supporting the mission of social service organizations.

What are the key skills and qualifications needed to thrive as an Internship Social Work Data Analyst, and why are they important?

To thrive as an Internship Social Work Data Analyst, you need a background in social work or related fields combined with analytical ability and familiarity with data analysis concepts, often supported by enrollment in or completion of relevant academic programs. Proficiency with statistical software (such as SPSS or R), spreadsheets, and data visualization tools is typically required. Strong communication, attention to detail, and a collaborative mindset help interns translate data insights into meaningful social work improvements. These skills are crucial for effectively supporting evidence-based decision-making and enhancing outcomes in social services settings.

What is the difference between Internship Social Work Data Analyst vs Social Worker?

AspectInternship Social Work Data AnalystSocial Worker
Required CredentialsRelevant coursework, possibly some certificationsState licensure, degree in social work (BSW or MSW)
Work EnvironmentData-focused, research settings, officesCommunity, healthcare, schools, social service agencies
Employer & IndustryNonprofits, government agencies, research institutionsHospitals, clinics, social service agencies
Common Search & ComparisonYesYes

Internship Social Work Data Analysts focus on analyzing social work data to support decision-making, often in research or administrative settings. Social Workers provide direct client services, counseling, and support in community or healthcare environments. While both roles may work within social services, their responsibilities and required credentials differ significantly.

What cities are hiring for Internship Social Work Data Analyst jobs? Cities with the most Internship Social Work Data Analyst job openings:
What are the most commonly searched types of Social Work Data Analyst jobs? The most popular types of Social Work Data Analyst jobs are:
What states have the most Internship Social Work Data Analyst jobs? States with the most job openings for Internship Social Work Data Analyst jobs include:
Internship Social Work Data Analyst jobs near you
Professor - Social Work

Professor - Social Work

Western Michigan University

Kalamazoo, MI • On-site

Full-time

Re-posted 7 hours ago

Western Michigan University rating

6.7

Company rating: 6.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

436th of 555 rated colleges and universities

Job description

Position Details
Posting Summary
College
College Of Health & Human Svcs
Executive Area
Provost & VP Academic Affairs
Department
School of Social Work
Posting Detail Information
Posting Number
F316P
Job Type
Non-Tenure Track
Pay Type
Exempt/Salaried
Pay Grade
I10
Campus Location
WMU-Kalamazoo - East Campus
Salary Range
Pay is commensurate with qualifications and experience, combined with an excellent benefits package.
Number of Vacancies
1
General Summary
Western Michigan University (WMU) invites applications for the position of Full Professor in the School of Social Work, based at the main campus in Kalamazoo, Michigan. This is an academic year faculty position that also carries the role of The Clair & Clarice Platt Endowed Chair of Online Learning, Educational Technology, and Professional Development. This is a three-year strategic leadership appointment, with the possibility of a two-year renewal based on performance and available funding. The position reflects the School of Social Work's strong commitment to online education, digital innovation, workforce development, and academic excellence in the digital era. The Endowed Chair will play a transformative role in shaping the future of social work education at WMU. Key responsibilities include: a) leading the design, development, marketing, implementation, assessment, accreditation, outreach, recruitment, and continuous quality improvement of online social work degree programs; b) advancing cutting-edge professional development initiatives for faculty, students, alumni, social work professionals, and community partners; and c) guiding the ethical and strategic integration of artificial intelligence (AI) into the social work curriculum and research initiatives. This is a unique opportunity for an innovative and visionary leader to make a significant impact on the delivery of social work education and professional training. Applicants must meet the criteria for appointment at the rank of Full Professor. Please note that this position is not a tenure-track appointment.
Major Duties
The Clair & Clarice Platt Endowed Chair of Online Learning, Educational Technology, and Professional Development will provide visionary academic and administrative leadership across several critical areas. Responsibilities include:
  • Leading the design, development, marketing, implementation, assessment, accreditation, outreach and recruitment, and continuous quality improvement of the School of Social Work's fully online BSW, MSW, and DSW programs, ensuring alignment with CSWE accreditation standards.
  • Overseeing the creation, launch, and management of a comprehensive professional development portfolio, including CEU-certified short courses, micro-credentials, and executive certificates.
  • Advancing ongoing faculty development initiatives focused on online teaching excellence, digital pedagogy, AI fluency, and instructional technology.
  • Supporting the adaptation and development of online curricula that meet emerging needs in the profession and reflect current best practices in digital education.
  • Leading the ethical and strategic integration of artificial intelligence (AI) into social work education and research, fostering innovation while upholding the profession's core values.

This position requires a dynamic and future-focused leader who can guide transformational change in digital education while maintaining a strong commitment to academic rigor, equity, and community engagement.
Minimum Qualifications
Required Qualifications: The ideal candidate should,
  • Hold a doctorate in Social Work or a related field, and a Master of Social Work (MSW) degree from a CSWE-accredited social work program.
  • Possess a minimum of 10 years of experience in social work higher education, including at least 5 years of school- or departmental-level leadership.
  • Demonstrate proficiency with Learning Management System platforms and digital instructional tools (e.g., virtual simulations, multimedia development, Canva, Microsoft Teams, WebEx, Zoom, Google Classroom), as well as familiarity with Online Learning Consortium and Quality Matters (QM) principles and rubrics.
  • Demonstrate experience in developing, launching, leading, and assessing online graduate social work programs.
  • Demonstrate experience with online curriculum management, including course development and delivery that meet CSWE competency standards.
  • Demonstrate experience with CSWE accreditation and reaffirmation processes, including competency-based curriculum design.
  • Demonstrate the ability to mentor a diverse faculty with varying levels of technological proficiency and the ability to plan, organize, and lead complex projects with multiple deadlines.
  • Demonstrate knowledge of and experience with market analysis, strategic planning, program assessment, quality management, and data-informed reporting.
  • Demonstrate experience with innovative and effective pedagogical applications of technology in online/hybrid course delivery, including instructional design principles and curriculum adaptation for online/hybrid formats.

Desired Qualifications
Preferred Qualifications: Preference will be given to candidates who,
  • Demonstrate expertise in AI applications, digital and new media literacies, digital innovation, or technology in social work or human services, along with a strong understanding of AI ethics and data equity in marginalized communities.
  • Demonstrate excellent organizational, analytical, and planning skills, as well as experience with collaborative leadership, including managing online and hybrid initiatives.
  • Demonstrate outstanding oral and written communication skills, strong interpersonal and presentation abilities, and a proven capacity to remain current with rapidly evolving technologies.
  • Have a record of peer-reviewed scholarship related to technology, digital social work education, or closely aligned areas.
  • Demonstrate a sustained commitment to advancing equity, access, and inclusion in social work education.

Special Instructions to Applicants
Additional Position Information
For benefits and other information visit https://wmich.edu/hr/employees/faculty

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