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Student Shadow Data Analytics Jobs in Boston, MA

... data entry and other clerical projects. Provide general administrative support to front desk and ... Shadow a physician, dentist, optometrist, behavioral health provider, or other member of our health ...

... with data entry and other clerical projects. · Provide general administrative support to front ... · Shadow a physician, dentist, optometrist, behavioral health provider, or other member of our ...

Student Summer Temporary

Dorchester, MA · On-site

$16 - $20.25/hr

... data entry and other clerical projects. • Provide general administrative support to front desk ... • Shadow a physician, dentist, optometrist, behavioral health provider, or other member of our ...

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Student Shadow Data Analytics information

See Boston, MA salary details

$35.9K

$88.6K

$152.1K

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

As of Aug 29, 2026, the average yearly pay for student shadow data analytics in Boston, MA is $88,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $104,800.00 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 Boston, MA?

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

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

The top searched job categories for Student Shadow Data Analytics jobs in Boston, MA are:

Student Success Data Analyst

Waltham, MA • On-site

The Chronicle Of Higher Education, Inc.
Newspaper Publishers • 201 - 500 employees

$70 - $95/hr

Other

Posted 11 days ago


Job description

Job Description Summary

Reporting to the Associate Provost for Student Success, the Student Success Data Analyst provides data analysis to support data-informed decision making within the Office of Student Success and the division of Academic Affairs. The analyst will perform descriptive analyses to identify inequalities in the student experience and institutional performance gaps; they will perform diagnostic analyses to lead the team to deeper understanding of the student experience; they will also perform predictive and prescriptive analyses to help the student success team design and implement interventions to increase student success. The ideal candidate possesses the technical and mathematical skills to mine, analyze, and visualize complex data sets and the communication skills to translate numbers into narratives that inspire campus partners and drive data-informed action across the university.

Essential Duties and Responsibilities:
  • Collect, analyze, and communicate student success data consistently and in real time, including quarterly, biannual, and annual reporting.
  • Compare real time data to historical data to identify trends and/or changes in student success indicators.
  • Partner with colleagues across campus, including in Enrollment Management, Student Affairs, Academic Affairs, and Advancement to compare student success indicators to pre-university inputs and post-university outputs.
  • Partner with colleagues in Information Technologies in support of the university’s enterprise-wide data analytics and data governance projects.
  • Analyze students’ academic performance in comparison to non-academic data points to paint a holistic picture of the overall student experience.
  • Build and maintain student success data dashboards and design and facilitate training to campus partners on how to use those dashboards.
  • Partner with IT to serve as a leader within Academic Affairs for modernizing data management, data governance, and data literacy of student success key performance indicators (KPIs).
  • Run reports and analyses of data within Navigate 360 for the Office of Student Success and support campus partners who use the platform in running their own reports and analyses.
  • Provide ongoing qualitative and quantitative data collection and analysis of various student success programs, including the Falcon Discovery Seminar, the Honors program, Academic Integrity, and FirstGen Presidential Fellows.
  • Communicate data analysis to various university audiences through data visualization, oral presentations, dashboards, and written reports.
  • Collaborate with the Academic Technologies Center on faculty and student use of the learning management system to improve the learning experience within that environment and make it more equitable.
  • Partner with the associate provost for student success to tell stories with data that measure the impact community members’ engagement with students has on student success indicators and their educational experience, with a particular emphasis on faculty engagement.
  • Serve as a thought-leader and role model within the Office of Student Success relative to leveraging generative artificial intelligence to enhance business processes and deepen analytic insights.
Minimum Qualifications:
  • Bachelor’s degree with a minimum of three years’ work experience.
  • Demonstrated experience in data mining, hygiene, and analysis.
  • Excellent data visualization, oral presentation, and written communication skills.
  • Strong interpersonal, critical thinking, problem solving, and organizational skills.
  • Experience with a variety of technology used in higher education (e.g. Workday Student, Banner, People Soft, Slate, Navigate 360, degree audit programs, learning management systems, etc.), Microsoft Excel, and Power BI.
  • Ability to explain data and corresponding analyses to a variety of constituencies who may have a limited understanding of data analysis and technology.
  • Commitment to diversity, equity, and inclusion and to using data to close equity gaps and increase inclusion amongst different demographic populations.
  • Demonstrated ability to prioritize and manage multiple projects at the same time and meet deadlines.
Preferred Qualifications:
  • Experience working in Higher Education.
  • Experience using D2L Brightspace or other learning management systems.
  • Experience using Power BI.
  • Ability to create real time business specific dashboards that provide actionable information.
  • Experience using data to drive decisions that close equity gaps and increase inclusion amongst different demographic populations.
Work Environment:
  • Typical office setting with extensive sitting and computer work. Regular in-person meetings and presentations with the option of flexible work-from-home capability when needed or appropriate.
  • Ability to travel around campus for meetings and other work-related events.

Bentley University requires reference checks and may conduct other pre-employment screening.

DIVERSITY STATEMENT

Bentley University strives to create a campus community that welcomes the exchange of ideas, and fosters a culture that values differences and views them as a strength in our community.

Bentley University is an Equal Opportunity Employer, building strength through diversity. The University is committed to building a community of talented students, faculty and staff who reflect the diversity of global business. We strongly encourage applications from persons from underrepresented groups, individuals with disabilities, covered veterans and those with diverse experiences and backgrounds.

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