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Student Shadow Data Analytics Jobs (NOW HIRING)

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Student Shadow Data Analytics information

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$33K

$81.5K

$140K

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

As of Jun 27, 2026, the average yearly pay for student shadow data analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

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.

Do job shadows get paid?

Job shadows, including those in data analytics, are typically unpaid opportunities that allow students to observe professionals and learn about the field. Some organizations may offer stipends or incentives, but most shadowing experiences are voluntary and unpaid. It is important to confirm specific arrangements with the hosting organization.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not fully replace data analysts. Data analysts, including those in roles like Student Shadow Data Analytics, are needed to interpret complex data, develop insights, and make strategic decisions that require human judgment and domain knowledge. Skills in data visualization, statistical analysis, and tools like Python or R remain essential for these roles.

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.

Is 40 too late for data science?

The Student Shadow Data Analytics role involves learning data analysis skills, which can be pursued at any age. Many professionals successfully transition into data science later in life by gaining relevant skills such as programming, statistics, and tools like Python or SQL, regardless of age.

Does job shadowing mean you got the job?

Job shadowing, such as in a Student Shadow Data Analytics role, is an observational experience that provides insight into the work environment and tasks but does not guarantee employment. It is a learning opportunity and does not imply that a job offer has been made or received.
More about Student Shadow Data Analytics jobs
What cities are hiring for Student Shadow Data Analytics jobs? Cities with the most Student Shadow Data Analytics job openings:
What states have the most Student Shadow Data Analytics jobs? States with the most job openings for Student Shadow Data Analytics jobs include:
Infographic showing various Student Shadow Data Analytics job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 48% Full Time, 48% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.
Data Analytics Manager

Data Analytics Manager

Harvard University

Cambridge, MA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Harvard University rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

133rd of 541 rated colleges and universities


Job description

Company Description
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.
Why join Harvard University Central Administration?
Harvard University's Central Administration (CADM) is a 5,000+ employee organization that supports the university's overall excellence by understanding and serving the needs of its schools, students, faculty, staff, alumni, and surrounding communities. Through dynamic and collaborative partnerships, CADM provides high-quality and efficient services to the schools to help them achieve their goals.
At Harvard FCU, we believe a brighter world is possible, and that together, we can all help create it. That's why, since 1939, we've helped our members build a strong financial future so they can make an impact in life, wherever it may lead. From students to professionals, from in-branch to online, from new beginnings to lifetime milestones, from Harvard Square to around the world, we deliver the accessible financial tools and resources everyone, everywhere needs to thrive. By coming together to serve, equip, and empower people to make a positive impact in their lives and communities, we're helping build a more prosperous world for all. Join us!
Harvard FCU: https://harvardfcu.org/
Job Description
Job-Specific Responsibilities:
The Data Analytics Manager leads our data and analytics function, helping the organization make smarter, faster, and more impactful decisions. The Data Analytics Manager oversees a team of analysts and partners across the credit union to unlock the value of our data, drive growth, improve member experience, and enable innovation. This role also leads to the evolution of our data warehouse, reporting tools, and analytics capabilities to ensure data is accessible, trusted, and actionable.
Data Strategy & Leadership
  • Champion a culture of data-informed decision-making across the organization
  • Partner with senior leaders and business units to identify and prioritize high-impact opportunities
  • Lead, coach, and develop a high-performing analytics team
  • Own key analytics platforms and vendor relationships
  • Bridge business and technical teams to ensure the right questions are asked and answered with confidence
Data Analysis & Business Intelligence
  • Lead development of intuitive dashboards and reporting (e.g., Tableau)
  • Translate business needs into meaningful metrics, KPIs, and insights
  • Deliver actionable analysis across member growth, lending, deposits, and digital engagement
  • Empower teams through self-service analytics and data accessibility
Data Governance & Quality
  • Establish practical, scalable data governance standards
  • Ensure data integrity through quality controls and monitoring
  • Define and maintain data definitions, lineage, and documentation
  • Support compliance with regulatory, privacy, and security requirements
Data Warehouse & Architecture
  • Lead design and optimization of the enterprise data warehouse
  • Oversee data pipelines and integrations across core, digital, lending, and third-party systems
  • Ensure performance, scalability, and reliability of the data environment
  • Stay current on modern data platforms and architectures (e.g., Snowflake)
Other duties as assigned.
Qualifications
Basic Qualifications:
Basic Qualifications are the minimum threshold a candidate must meet in order to be considered for this role.
  • Minimum of two years' post-secondary education or relevant work experience
  • Supervisory experience
Additional Qualifications and Skills:
The following qualifications are strongly preferred. If you meet some, but not all, we still encourage you to apply. Harvard FCU values employees with a willingness to learn.
  • Bachelor's degree or equivalent experience required; Masters degree preferred
  • Strong SQL expertise
  • Experience working with structured and unstructured data environments
  • Proficiency with BI tools (e.g., Tableau, Power BI)
  • Background in quantitative analysis and statistical modeling
  • Understanding of data infrastructure and ELT/ETL frameworks
  • Strong analytical and problem-solving skills
  • Ability to translate complex data into clear, actionable insights
  • Excellent communication and presentation skills
  • Ability to work independently and collaboratively
  • Strong organization and attention to detail
  • Proven leadership and team development experience preferred
Additional Information
Working Conditions: Onsite work is performed in an office setting
Standard Hours/Schedule: 35 hours per week.
3 days a month onsite with 1-week WFH. Additional onsite days will be required based on business needs.
Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position.
Pre-Employment Screening: Credit,Criminal, Education, Identity, Prohibited Parties (OFAC - Office of Foreign Assets Control).
Other Information:
This position has a 90-day orientation and review period.
#LI-BT1
Work Format Details
This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University's Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.
Salary Grade and Ranges
This position is salary grade level 056. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.
Benefits
Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:
  • Generous paid time off including parental leave
  • Medical, dental, and vision health insurance coverage starting on day one
  • Retirement plans with university contributions
  • Wellbeing and mental health resources
  • Support for families and caregivers
  • Professional development opportunities including tuition assistance and reimbursement
  • Commuter benefits, discounts and campus perks

Learn more about these and additional benefits on our Benefits & Wellbeing Page.
EEO/Non-Discrimination Commitment Statement
Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.