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Student Shadow Data Analytics Jobs in California

Tata Consultancy Service Limited

Data Analyst

San Jose, CA · On-site

$70K - $109K/yr

Provided essential analytics support for service sales, marketing, field services, and tech support ... Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. Salary ...

Palo Alto University

Student Assistant II

Palo Alto, CA · On-site

$22/hr

Research Design and Data Analysis Student Consultants (RDDA Student Consultant) Palo Alto University (PAU), a private, non-profit university, founded in 1975 and located in the heart of Northern ...

Touro University California

Data Analyst

Vallejo, CA · On-site

$74K/yr

Experience in higher education, specifically with admissions, enrollment, and student data, is ... analytical skills Strong written, verbal and interpersonal communication skills Ability to work ...

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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 are popular job titles related to Student Shadow Data Analytics jobs in California?

For Student Shadow Data Analytics jobs in California, the most frequently searched job titles are:

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 Shadow Data Analytics jobs near you

2027 Undergrad Data Analyst Intern/co-op

Advanced Micro Devices, Inc

Santa Clara, CA • On-site

$66K/yr

Full-time, Internship

Posted 18 days ago

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

26th of 161 rated electronics manufacturers

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world's most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you're designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we'll advance your career.
As an AMD Co-op, you'll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You'll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you're an undergrad or a PhD student, your contributions matter-and your experience here will be a launchpad for what comes next.
Job Details:
  • Locations: San Jose, CA or Santa Clara, CA
  • Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term

Duration:
  • Spring/Summer Co-op: January 15, 2027 - August 13, 2027
  • Summer Internship:
    • Semester Students: May 24, 2027 - August 13, 2027
    • Quarter Students: June 21, 2027 - September 10, 2027
  • Summer/Fall Co-op:
    • Semester Students: May 24, 2027 - December 10, 2027
    • Quarter Students: June 21, 2027 - December 10, 2027

WHAT YOU WILL BE DOING:
We are seeking a highly motivated Data Analyst intern/co-op to join our team and work on data, statistical analysis, performance analysis, quality assurance, and data interpretation. In this role -
  • Your responsibility will be to analyze and organize raw data to craft proofs of concepts, prototype, and implement solutions using relevant analysis methods and visualization techniques
  • We will involve you in data analysis assignments and report results. Additionally, we would train to build data for prescriptive and predictive modeling to generate business foresights
  • We will assign tasks for building reports, presentation and crafting dashboards using data visualization tools

WHO WE ARE LOOKING FOR:
  • You are currently enrolled in a United States based University into a Undergrad program majoring in Data Analytics, Data Engineering, Computer Engineering, Electrical Engineer, Computer Science or a related field

  • If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply -
    • Python, SQL, R, Java
    • Data processing, data engineering and/or data science
    • Kubernetes, Tableu, PowerBi, data analytics
    • Microsoft cloud services like Azure and AKS
    • Snowflake, Oracle, SQL server data platform
    • Software development (including design, implementation, testing, and other related work)
    • Database design and data modeling

Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you.
This role is not eligible for visa sponsorship.
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

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