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Student Shadow Data Analytics Jobs in California

Recent graduate or final-year student pursuing a bachelor's degree in environmental science, Sustainability, Environmental Engineering, Industrial Engineering, Data Analytics, Business Analytics ...

Data Analytics Developer II

Fresno, CA · On-site

$6.4K - $9.4K/mo

Data Analytics Developer II Apply now Job no: 558037 Work type: Staff Location: Fresno Categories ... The current student population is more than 25,000, including a large percentage of students with ...

Data Analyst › Description About Veryon Veryon is the leading global provider of aviation ... Shadow consultants during solution design discussions, demos, and customer walkthroughs * Support ...

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Student Shadow Data Analytics information

What are Student Shadow Data Analytics?

Student Shadow Data Analytics refers to the process of collecting and analyzing data about students as they are observed or 'shadowed' through their daily academic activities. This analysis helps educators and administrators understand student behaviors, learning patterns, and engagement levels. Insights from this data can be used to improve teaching strategies, personalize learning experiences, and identify areas where students may need additional support. Student shadowing combined with data analytics provides a comprehensive view of the student experience in educational settings.

What types of projects or tasks can I expect to work on as a Student Shadow in Data Analytics?

As a Student Shadow in Data Analytics, you will typically observe and assist with projects such as data collection, cleaning, and visualization. You might help analyze datasets to uncover trends or support team members in preparing reports and presentations for stakeholders. This role often involves collaborating closely with experienced data analysts and learning how to use industry-standard tools like Excel, SQL, or Python. It's a great opportunity to see how real-world business problems are solved using data-driven approaches.

What is the difference between Student Shadow Data Analytics vs Data Analyst?

AspectStudent Shadow Data AnalyticsData Analyst
Required CredentialsTypically enrolled in a related degree program, no formal certification requiredBachelor's degree in data science, statistics, or related field; certifications like SQL or Tableau often preferred
Work EnvironmentObservational role, often unpaid or internship-based, in educational or entry-level settingsFull-time professional role in corporate, finance, healthcare, or tech industries
Employer & Industry UsageEducational institutions, internships, entry-level projectsBusinesses, consulting firms, government agencies
Common Search & ComparisonYesYes

The main difference between Student Shadow Data Analytics and Data Analyst lies in experience, credentials, and work environment. Student Shadow roles are typically observational or internship-based, focusing on learning, while Data Analysts are full-time professionals performing data analysis tasks in various industries.

What are the key skills and qualifications needed to thrive as a Student Shadow in Data Analytics, and why are they important?

To thrive as a Student Shadow in Data Analytics, you should have a foundational understanding of statistics, data interpretation, and basic programming, often gained through coursework or related academic projects. Familiarity with tools such as Microsoft Excel, SQL, and introductory data visualization software (like Tableau or Power BI) is typically expected. Eagerness to learn, attention to detail, and strong communication skills help you stand out in this observational and learning-focused role. These skills are crucial because they enable you to quickly absorb complex concepts, contribute to discussions, and make the most of your shadowing experience in a real-world data analytics environment.
What job categories do people searching Student Shadow Data Analytics jobs in California look for? The top searched job categories for Student Shadow Data Analytics jobs in California are:
What cities in California are hiring for Student Shadow Data Analytics jobs? Cities in California with the most Student Shadow Data Analytics job openings:
Student Data Analyst (45327)

Student Data Analyst (45327)

GOLDEN GATE UNIVERSITY

San Francisco, CA

$19.18/hr

Part-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.