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Student Shadow Data Analytics Jobs in California

Overview The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning ... and student data, is preferred. • Familiarity with data privacy laws such as FERPA, GDPR, or ...

Data Analyst

Vallejo, CA · On-site

$74K/yr

Overview The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning ... and student data, is preferred. • Familiarity with data privacy laws such as FERPA, GDPR, or ...

The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning in ... and student data, is preferred. • Familiarity with data privacy laws such as FERPA, GDPR, or ...

Customer Data Specialist

San Mateo, CA · On-site

$70K - $90K/yr

This involves creating custom reports that effectively communicate IXL's impact on student and school performance. The successful candidate will possess strong data analysis and manipulation skills ...

Showing results 41-60

Student Shadow Data Analytics information

What is a 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 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 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.

How to become a student shadow data analyst with no experience free?

To become a student shadow data analyst with no experience, start by learning basic data analysis skills using free online resources such as tutorials on Excel, SQL, and Python. Seek opportunities to observe professionals through internships, volunteering, or mentorship programs, and build a portfolio of simple projects to demonstrate your skills. Gaining familiarity with data visualization tools like Tableau or Power BI can also enhance your prospects.

What cities in California are hiring for Student Shadow Data Analytics jobs?

Cities in California with the most Student Shadow Data Analytics job openings:

$74K/yr

Full-time

Posted 18 days ago


Touro University rating

5.9

Company rating: 5.9 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

571st of 618 rated colleges and universities


Job description

Overview

The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning in leading the systematic collection, analysis, and distribution of data to guide decision-making and provide support for institutional improvement, planning, operations, and accreditation.  This individual will oversee reporting to federal agencies, state agencies and accrediting bodies, and work with Touro University California stakeholders to enhance the understanding, collection, and use of data as well as provide expertise in analysis and reporting.

Responsibilities

In addition to the following specific duties and responsibilities, the incumbent will be expected to continue upgrading knowledge, skills and abilities as needed to complete job-related work.

• SQL Development: Write and optimize complex SQL queries to extract, integrate and transform data to support institutional research activities.
• Data Management: Develop, implement, and maintain data sets related to admissions, enrollment, retention, graduation, licensure exams, financial aid, and survey results.
• Data Integrity: Ensure the accuracy, completeness, and consistency of data through routine audits, validation checks, and best practices in data governance.
• Data Analysis and Presentation: Utilize data analysis techniques to gather, interpret, and present key institutional metrics, ensuring effective communication of findings to diverse stakeholders through reports, dashboards, and presentations
• Data Reporting: Ensures the timely and accurate reporting to federal and state agencies, accrediting bodies, and other external agencies and organizations. Collaborate with the Institutional Effectiveness staff to provide data analysis, generate reports, and support data-informed decision-making for institutional initiatives.
• Collaboration: Work closely with cross-functional teams (e.g., IT, Admissions, Financial Aid) to gather data requirements and ensure the smooth integration of data systems.
• Other duties as assigned

Qualifications

Minimum Requirements:
• Bachelor’s degree in data science, data management, statistics or a related field. A master’s degree is preferred.
• Proficiency in SQL and experience working with large relational databases (e.g., Oracle, MySQL, Microsoft SQL Server).
• Proven statistical analytical skills
• Familiarity with data warehousing concepts and ETL (extract, transform, and load) processes.
• Knowledge of database design and management principles.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Strong problem-solving abilities and attention to detail with a focus on data accuracy and quality.
• Excellent verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders.

Preference will be given to Candidates with:
• Knowledge of institutional research methodologies and data reporting requirements in higher education.
• Experience in higher education, specifically with admissions, enrollment, and student data, is preferred.
• Familiarity with data privacy laws such as FERPA, GDPR, or other relevant regulations.

Core Competencies:

• Strong general computer/database skills, including experience working with database query tools, designing and manipulating spreadsheets
• strong analytical skills
• Strong written, verbal and interpersonal communication skills
• Ability to work independently and manage multiple tasks with strong attention to detail under time-sensitive conditions
• Proven ability to attend to detail and accuracy
• Ability to interact openly, effectively, and professionally as a member of a team and to work collaboratively and collegially with department faculty and staff and other campus personnel
• Strong sense of initiative, dedication and responsibility and willingness to take professional pride and ownership in the position

Maximum Salary

USD $74,180.00/Yr.

Minimum Salary

USD $60,000.00/Yr.


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