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Student Shadow Data Analytics Jobs in Virginia (NOW HIRING)

Students need guidance navigating this important time in their life. They need someone who ... Analyze complex data sets to identify patterns and trends that will drive business growth.

Sr Analyst - Data Analytics

VA · On-site +1

$86K - $109K/yr

... Data Analytics to help support our Federal ... Student Aid (FSA) portfolio, where you will play a critical role in transforming complex ...

Translate business questions into data-driven analyses, dashboards, reports, and actionable ... Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities

... for OPT students and visa holders - Skills Enhancement Data Analytics Training Program is provided for selected candidates ** OPT students may also apply If you are qualified and interested in ...

ONE (1) year+ experience in financial management and data analytics What Would Be Nice To Have ... Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities

ONE (1) year+ experience in financial management and data analytics What Would Be Nice To Have ... Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities

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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.

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.
What job categories do people searching Student Shadow Data Analytics jobs in Virginia look for? The top searched job categories for Student Shadow Data Analytics jobs in Virginia are:
What cities in Virginia are hiring for Student Shadow Data Analytics jobs? Cities in Virginia with the most Student Shadow Data Analytics job openings:

Manager, Data Analytics

Sallie_mae

Sterling, VA

Full-time

Medical, Dental, Vision, Life, PTO

Posted 4 days ago


Job description

When you join Sallie Mae, you become a champion for all students.

We're on a mission to power confidence as students begin their unique journey. To help them plan their higher education, successfully finish, and prepare for life after school. To help them Start smart. Learn big.

Students need guidance navigating this important time in their life. They need someone who acknowledges that their education path is unique. They need a partner willing to evolve and not only meet but surpass their expectations. We're changing. Because students need a better way.

We're looking for people who are excited to drive this transformation. To break barriers and think of new ways to adapt, help, and create better experiences for students-and for each other.

This is where diverse backgrounds, beliefs, and perspectives matter. It's where you're empowered to bring your authentic self to work.

Feeling your best allows you to do your best. Our benefits take care of the whole you-from physical and mental to financial and professional. You'll get opportunities to further your education and career, support for you and your family (including your pets!), paid time off to volunteer for the things that matter to you, and more.

We're obsessed with impact and making a real difference. For us, that means putting relationships first, asking "why not?" when tackling challenges, and continuously learning new skills.

Come do more than join something, change something. For students, for future generations, for the future of education.

What You'll Contribute

As the Manager of Data Analytics, you will be responsible for leading a team of data analysts to develop insights that drive business growth and optimization. You will be responsible for analyzing complex data, identifying patterns and trends, and presenting findings to inform decision making at all levels of the organization.

What You'll Do

  • Lead a team of data analysts to develop and implement analytical frameworks to uncover insights and improve business performance.

  • Analyze complex data sets to identify patterns and trends that will drive business growth.

  • Develop models and forecasts to support business planning and decision-making.

  • Present findings and recommendations to senior leadership to influence strategic decision-making.

  • Collaborate with cross-functional teams to understand business objectives and provide insights to inform business strategies.

  • Ensure data integrity and accuracy by monitoring data sources and implementing quality control processes.

  • Stay up-to-date with industry trends and emerging technologies to drive innovation and continuous improvement.

The above information is intended to describe the general nature and level of work performed by employees assigned to this job; it is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees in this role.

What you have

Minimum: Indicate minimum education, skills and experience required.

  • Demonstrated ability to lead and manage analytics projects and deliver high-quality analytics insights and recommendations.

  • Excellent communication skills, with the ability to present complex data in a clear and concise manner to stakeholders at all levels of the organization.

  • Strong problem-solving and critical thinking skills.

  • Demonstrated ability to work collaboratively across departments and functions.

  • Familiarity with data visualization tools such as Tableau, Power BI, or similar.

  • Experience with SQL, Python, R, or other programming languages commonly used in analytics.

Preferred: Indicate "nice to haves" regarding education, skills, and experience.

  • Bachelor's or Master's degree in mathematics, statistics, economics, computer science, or related field.

  • 5+ years of experience in prescriptive and predictive analytics, with at least 2 years of experience managing a team of analysts.

  • Experience in financial services, lending space

  • Experience with leveraging GenAI for reporting and analytics.

The Americans with Disabilities Act

The Americans with Disabilities Act of 1990 (ADA) prohibits discrimination by employers, in compensation and employment opportunities, against qualified individuals with disabilities who, with or without reasonable accommodation, can perform the "essential functions" of a job. A function may be essential for any of several reasons, including: the job exists to perform that function, the employee holding the job was hired for his/her expertise in performing the function, or only a limited number of employees are available to perform that function.

Feeling your best helps you do your best:Our benefits take care of the whole you-so you can build your work around your life (not the other way around!).
  • Competitive base salaries

  • Bonus incentives

  • Generous PTO, Floating Holidays and 12 Federal Holidays observed

  • Support for financial-well-being and retirement401k with employer match

  • Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more

  • Employer paid short-term/long-term disability and basic life insurance

  • Flexible hybrid working arrangements.

  • Paid parental leave and adoption reimbursement programs

  • Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware)

  • Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives

  • Tuition Reimbursement and Family Scholarship Programs

  • Career development and training opportunities

Not the right fit? Let us know you're interested in a future opportunity by clickingIntroduce Yourselfin the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click hereto view the U.S. Pay Transparency Policy, here for federal job applicant notices, and here to view the California Employee Privacy Notice.
Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call (855) 756-2007 and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.