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Flexible Data Analyst Student Jobs (NOW HIRING)

Our data analytics advisory services enable our customers to transform data into insights by ... Eligible for Medical, Dental, Vision, 401(k) and flexible time off in accordance with company ...

Senior Data Analyst

$110K - $135K/yr

... maintain flexible data models from various sources based on customer requests, including CUSP and other third-party sources, investigate and design integration and analytics. -Conduct data ...

Our data analytics advisory services enable our customers to transform data into insights by ... Eligible for Medical, Dental, Vision, 401(k) and flexible time off in accordance with company ...

Sr. Data Analyst

Waukesha, WI

$86K - $108K/yr

Therefore, we seek applicants who can demonstrate their understanding of justice and who can inspire our increasingly diverse student population. The Senior Data Analyst is a strategic and technical ...

Data Analyst

Grambling, LA · On-site

$45K - $50K/yr

... and summarize college data such as student enrollments, retention, and graduation rates ... flexible spending accounts, life insurance, long-term disability, short- term disablity, holidays ...

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Flexible Data Analyst Student information

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How much do flexible data analyst student jobs pay per year?

As of Jun 28, 2026, the average yearly pay for flexible data analyst student in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a Flexible Data Analyst Student?

A Flexible Data Analyst Student is typically a college or university student who works part-time or on a flexible schedule to analyze and interpret data. They may assist organizations or academic departments with data collection, cleaning, and reporting, often using tools like Excel, Python, or R. The flexible aspect allows them to balance their job responsibilities with their academic commitments. This role helps students gain practical experience in data analysis while still pursuing their degree. It's an excellent way to build relevant skills and enhance employability after graduation.

What is the difference between Flexible Data Analyst Student vs Data Analyst Intern?

AspectFlexible Data Analyst StudentData Analyst Intern
CredentialsEnrolled in relevant coursework or degree programTypically students or recent graduates
Work EnvironmentFlexible, part-time, or remote learning projectsInternship programs, often onsite or remote
Employer UsageEducational institutions, training programs, or freelance projectsCompanies seeking entry-level data analysis experience
Search/Comparison IntentUnderstanding roles for learning or part-time workSeeking internship opportunities to gain industry experience

The Flexible Data Analyst Student typically refers to someone learning data analysis skills through coursework or part-time projects, often in a flexible environment. In contrast, a Data Analyst Intern is usually a student or recent graduate participating in a structured internship program within a company. Both roles serve as entry points into the data analysis field but differ mainly in structure and purpose.

What are the key skills and qualifications needed to thrive as a Flexible Data Analyst Student, and why are they important?

To thrive as a Flexible Data Analyst Student, you should have a solid understanding of statistics, data manipulation, and analytical thinking, often supported by coursework in mathematics, statistics, or computer science. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau, is highly beneficial. Strong problem-solving skills, adaptability, and effective communication help you interpret complex data and present insights clearly. These skills enable you to efficiently analyze data, adapt to diverse project requirements, and deliver actionable recommendations in academic or internship settings.

What are some common challenges faced by flexible data analyst students balancing work and study responsibilities?

Flexible data analyst students often face the challenge of managing their time effectively between academic commitments and real-world data projects. Juggling coursework deadlines with hands-on analytics tasks requires strong organizational skills and proactive communication with both professors and team members. Additionally, adapting quickly to different tools and datasets while maintaining high-quality analysis can be demanding, but it provides valuable experience in multitasking and prioritizing tasks—skills highly regarded in the data analytics field.
What cities are hiring for Flexible Data Analyst Student jobs? Cities with the most Flexible Data Analyst Student job openings:
What are the most commonly searched types of Data Analyst Student jobs? The most popular types of Data Analyst Student jobs are:
What states have the most Flexible Data Analyst Student jobs? States with the most job openings for Flexible Data Analyst Student jobs include:
Student Data Analyst (45327)

Student Data Analyst (45327)

GOLDEN GATE UNIVERSITY

San Francisco, CA • On-site

$19.18/hr

Full-time

Posted 3 days ago


Job description

Job Title: Student Data Analyst
Department: Office of the Provost
Reports to: Assistant Vice Provost Nicole Jackson
FLSA Status: Non-Exempt
Wage: $19.18 per hour
Must be currently enrolled as a Golden Gate University Student.
Summary:
Provide data analysis, assessment, accreditation, state authorization, and institutional effectiveness support to the Office of the Provost. The Student Data Analyst will collect, analyze, interpret, and present institutional and student data to support accreditation, regulatory compliance, student success initiatives, academic program review, strategic planning, and continuous improvement efforts. This position serves as a key resource for data-informed decision-making and collaborates extensively with stakeholders across the University.
Essential Duties and Responsibilities:
Include the following. Other duties may be assigned.
• Collect, analyze, and report institutional and student data required for state authorization, accreditation, assessment, and institutional effectiveness initiatives.
• Support domestic and international accreditation activities through data collection, reporting, benchmarking, evidence preparation, and compliance documentation.
• Assist in the identification, collection, and analysis of data used to assess achievement of student learning outcomes and academic program effectiveness.
• Collect and analyze data for academic program reviews, including enrollment, retention, persistence, graduation, demographic, and student achievement metrics.
• Conduct external competitor, market, workforce, and benchmarking analyses to support academic program development, strategic planning, and continuous improvement initiatives.
• Design, administer, collect, and analyze student, alumni, employer, and stakeholder surveys using Qualtrics and other survey tools.
• Conduct focus groups and qualitative research to identify opportunities for improving student success, institutional effectiveness, and academic quality.
• Develop reports, dashboards, data visualizations, scorecards, and presentations for university leadership and key stakeholders.
• Assist in preparing institutional reports, accreditation reports, self-studies, annual reports, and state authorization submissions.
• Work collaboratively with academic departments, student services, enrollment management, registrar, institutional research, accreditation teams, and other university offices to support institutional effectiveness and student success initiatives.
• Monitor and ensure the integrity, accuracy, and confidentiality of institutional, employee, and student data.
• Present findings and recommendations to university leadership, faculty committees, accreditation teams, and other stakeholders.
• Maintain documentation, records, and evidence repositories related to accreditation, assessment, and compliance activities.
• Candidate must demonstrate sensitivity and professionalism when handling confidential records and information.
• Candidate must possess strong analytical, communication, presentation, and collaboration skills.
Qualifications, Education and/or Experience:
Bachelor's degree required; Master's degree preferred in Data Analytics, Statistics, Business Analytics, Institutional Research, Public Administration, Social Sciences, or a related field.
Experience in higher education, institutional research, assessment, accreditation, compliance, student success analytics, or data analytics is preferred.
Knowledge of:
Microsoft Word, Excel, PowerPoint, and database systems. Ability to proficiently use a Windows-based computer environment, operate standard office equipment, and create and maintain electronic and written record systems. Experience with student information systems, learning management systems, reporting tools, Power BI, Tableau, SPSS, SQL, or similar analytics platforms is preferred. Ability to collect, validate, analyze, interpret, and present complex data from multiple sources and translate findings into actionable recommendations that support institutional decision-making and continuous improvement.
Other:
Excellent written, verbal, communication, presentation, and data visualization skills. Demonstrated analytical and problem-solving abilities, including the ability to collect, interpret, analyze, and communicate complex data to diverse audiences. Strong proficiency in data analytics and reporting with the ability to translate findings into actionable recommendations for institutional planning, accreditation, compliance, and student success initiatives.
The role requires exceptional collaboration, relationship-building, and stakeholder management skills, including the ability to work effectively with faculty, academic leadership, student services, enrollment management, registrar staff, institutional research personnel, accreditation teams, state authorization coordinators, and external regulatory and accreditation agencies. Must be able to manage multiple projects simultaneously while maintaining accuracy, confidentiality, attention to detail, and a commitment to institutional excellence.
Supplemental Information
To apply: Please go to http://www.ggu.edu/jobs to submit an application, letter of interest, and a resume.
In applying for a position, candidates sign a consent authorizing a broader inquiry which may include reference checks, a motor vehicle check, and a third-party background check.
Golden Gate University is an equal employment opportunity employer. We support inclusive excellence and are committed to creating a safe and welcoming community for all.
University policy prohibits discrimination based on race, color, religion/creed, national origin, ancestry, age, sex/gender, sexual orientation, marital status, medical condition, physical or mental disability, gender stereotyping, and gender identity, gender expression, military or veteran status, taking a protected leave (e.g., family medical or pregnancy leave), or on any other basis protected by applicable laws.
The University has a strong commitment to the principles of diversity and inclusion, and to maintaining working and learning environments that reinforces these practices. The University welcomes and encourages applications from all demographics.