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Student Shadow Data Analytics Jobs in Seattle, WA

Olympic College

Management Analyst 4

Bremerton, WA · On-site

$71K - $95K/yr

Lead training sessions for appropriate personnel to ensure they are fully informed of financial aid processes and equipped to provide accurate and equitable guidance to students. * Use data analytics ...

SynergisticIT

AI & Machine Learning Engineer

Seattle, WA · On-site

$130K - $156K/yr

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts ... Students who recently finished their Bachelor's or Master's programs Those struggling to land ...

Amazon

Finance Manager, US 3P Finance

Seattle, WA

We are looking for someone with a broad technical background in data analytics, strong business ... Own and maintain shadow P&L queries and analytical frameworks that provide visibility into MFN unit ...

Amazon

Finance Manager, US 3P Finance

Seattle, WA · On-site

We are looking for someone with a broad technical background in data analytics, strong business ... Own and maintain shadow P&L queries and analytical frameworks that provide visibility into MFN unit ...

Amazon

Finance Manager, US 3P Finance

Seattle, WA · On-site

We are looking for someone with a broad technical background in data analytics, strong business ... Own and maintain shadow P&L queries and analytical frameworks that provide visibility into MFN unit ...

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Showing results 41-60

All JobsStudent Shadow Data Analytics JobsStudent Shadow Data Analytics Jobs in Seattle, WA

Student Shadow Data Analytics information

See Seattle, WA salary details

$37.6K

$92.8K

$159.3K

How much do student shadow data analytics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for student shadow data analytics in Seattle, WA is $92,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,700.00 and $109,800.00 per year, depending on experience, location, and employer.

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 Seattle, WA?

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

What job categories do people searching Student Shadow Data Analytics jobs in Seattle, WA look for?

The top searched job categories for Student Shadow Data Analytics jobs in Seattle, WA are:

Student Shadow Data Analytics jobs near you
Infographic showing various Student Shadow Data Analytics job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $92,770 per year, or $44.6 per hour.

SAP Data Quality Analyst

Tata Consultancy Service Limited

Seattle, WA • On-site

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

Job description

Roles & Responsibilities
We are looking for a motivated SAP S/4 HANA Data Quality Analyst with a passion for Data governance Processes in S4 HANA. As a consultant, you will be responsible for assisting in various projects related to Workshop, Configuration, Requirement Gathering, Implementation, Support etc. You will work closely with a team of experienced professionals to work with customers in implementing propose Data governance processes.
Requirements:
• Ability to review data profiling results and define data quality metrics with business
• Understanding of master data and SAP data structures
• Experience facilitating business discussions to define data quality rules (e.g., for customer, material, supplier, assets, equipment)
• Responsible for reviewing profiling results with business and IT, identifying data quality business rules to be developed in Information Steward
• Functional knowledge of SAP S4 and understanding of S4 data model for master data
• Experience designing data quality rules preferred
• Ability to work independently on Project and Lead project technically
• Ability to draw & implement Enterprise level architecture
• Assist in day-to-day operations of customer discussion w.r.t design and development.
• Recommend best practice solutions, based on research of emerging products, services, protocols and standards.
• Works extensively with customers along with appropriate internal and external resources on the strategy/deployment/optimization of Product services and solutions
• Takes lead role in execution of projects
• Analyzing Technical requirements and environments
• Familiarity with adherence to standard change management procedures when introducing technical changes to production environments.
• Support activities needed to implement and maintain security policy & regulator guidelines
• Analyzing and documenting technical requirements
• Well verse with incident, problem, Change, SLA management
• Works collaboratively between Application Owner, other Enterprise Architect group and Technical Architects to define and describe solutions.
• Strong ability and desire to learn new technologies and capability to drive innovation are absolute must
• Direct engagement with customers to provide support and understand customer needs
• Assist in responses to internal and external compliance audits, penetration tests and vulnerability assessments.
• Knowledge of master data and SAP data structures
• Experience leading busi ness discussions to specify data quality rules (such as for customer, material, supplier, assets, equipment)
• U.S. citizenship or green card required
Generic Managerial Skills, If any
• Excellent communication, presentation, and stakeholder management skills.
• Leadership experience with onsite/offshore teams.
• Strong problem-solving, analytical, and decision-making abilities.
Base Salary Range : $140,000 to $160,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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