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Student Shadow Data Analytics Jobs in Indiana (NOW HIRING)

We stand with our students, partners, and communities. • Integrity: We treat all with dignity and ... Data Analytics Program DATA Standard: A qualified faculty member in Data Analytics DATA meets the ...

West Lafayette Job Summary The Institutional Data Analytics + Assessment (IDA+A) office is seeking ... students, faculty, and operations at scale. In this role, you will contribute to research ...

West Lafayette Job Summary The Institutional Data Analytics + Assessment (IDA+A) office is seeking ... students, faculty, and operations at scale. In this role, you will contribute to research ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

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Student Shadow Data Analytics information

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 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 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 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.

What cities in Indiana are hiring for Student Shadow Data Analytics jobs? Cities in Indiana with the most Student Shadow Data Analytics job openings:
Director of Data Analytics

Director of Data Analytics

Indiana Wesleyan University

Indianapolis, IN • On-site, Remote

Full-time

Posted 13 days ago


Indiana Wesleyan University rating

8.6

Company rating: 8.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

49th of 528 rated colleges and universities


Job description

Director of Data Analytics
Job no: 495051
Work type: Administrative (Full Time)
Location: Indianapolis, IN, Marion, IN, Hybrid (2 Office / 3 Remote), Remote (within United States), Other
Categories: Administrative/Professional
Job Title: Director of Data Analytics
Reporting Relationship: VP of Learner Success
Unit: National & Global
Department: Dept. of Learner Success-National & Global
Campus Location: Hybrid Schedule (1 day / month Onsite either at Indianapolis Ed Center or Marion, IN campus; the remaining time fully remote).
Summary of Position: The Director of Data Analytics serves as the Strategic Lead for data-driven retention interventions and intervention science within National & Global. Reporting directly to the Vice President of Learner Success, this individual contributor role is responsible for transforming complex student data from the institutional data lake into validated, causal insights that directly improve persistence and completion outcomes for adult online learners.
This position is distinguished by its focus on establishing causality in retention research. The Director applies advanced statistical approaches to move the division from descriptive dashboards to prescriptive, evidence-based action, functioning as the lead practitioner for "Actionable Analytics."
Duties and Responsibilities
  • Intervention Science and Causal Modeling
    • Leads the application of "gold standard" statistical methodologies to establish the causal efficacy of retention interventions
    • Designs and executes quasi-experimental studies using Propensity Score Matching (PSM) to simulate randomized control trials
    • Employs Survival Analysis (time-to-event modeling) to identify critical "danger zones" within the academic term where students are most likely to disengage
    • Utilizes Multi-level Modeling (MLM) to distinguish between student-level factors and systemic programmatic issues
    • Applies Structural Equation Modeling (SEM) to map relationships between latent psychosocial variables and observed outcomes like GPA and course completion
  • Student Success Intelligence Brief Publication
    • Serves as the primary author and strategist for the "Student Success Intelligence Brief," published every six weeks
    • Translates complex statistical findings into clear, actionable steps for faculty and leadership across the DeVoe School of Business, the School of Education, and the School of Service and Leadership
    • Provides high-level, program-segmented analysis of retention trends and provides "Go/No-Go" recommendations for scaling pilot initiatives
  • Psychosocial Metric Development and Validation
    • Operationalizes the integration of non-cognitive measures (Sense of Belonging, Academic Self-Efficacy, Help-Seeking Orientation) into the institutional data model
    • Develops and validates proprietary predictive scales that combine traditional academic indicators with psychosocial factors
    • Ensures that psychosocial triggers are embedded into CRM case records to enable targeted resource referrals by advisors
  • Data Integration and CRM/AI Collaboration
    • Serves as the primary functional liaison to IT and Salesforce teams to access and integrate data from the institutional data lake
    • Defines data requirements and validates data quality for the "Student Insights Agent" and other Agentic AI workflows
    • Ensures that early alert thresholds and "Next Best Action" prompts in Salesforce are grounded in empirically validated retention science rather than arbitrary rules
  • External Benchmarking and Thought Leadership
    • Benchmarks institutional retention outcomes against national standards for online adult learners (IPEDS, National Student Clearinghouse)
    • Represents the institution at national conferences (e.g., EDUCAUSE, AIR) to contribute to the scholarly conversation on student success science

Qualifications: According to Indiana Wesleyan University employment policy all employees must possess a strong Christian commitment and adhere to the standards outlined in the IWU Community Lifestyle Statement.
Education
  • Required: Master's degree in Data Science, Business Analytics, Statistics, Quantitative Psychology, or a related quantitative field
  • Preferred: Doctoral student (ABD - All But Dissertation) with a focus on causal inference, higher education research, or intervention science

Experience
  • Five or more (5+) years of progressive experience in data science, institutional research, or student success analytics
  • Proven track record of establishing causal relationships in educational or behavioral research
  • Experience working with adult learner populations in online or distance learning environments
  • Experience with CRM platforms (Salesforce Education Cloud strongly preferred)

Required Skills
  • Expert-level proficiency in PSM, Survival Analysis, MLM, and SEM
  • Advanced programming skills in R or Python for data manipulation and modeling
  • Proficiency in SQL and experience querying large, complex educational databases/data lakes
  • Strong ability to translate complex data into "Intelligence Briefs" for non-technical executive audiences

IWU Kingdom Diversity Statement
IWU, in covenant with God's reconciling work and in accordance with the Biblical principles of our historic Wesleyan tradition, commits to build a community that reflects Kingdom diversity. We will foster an intentional environment for living, teaching and learning, which exhibits honor, respect, and dignity. Acknowledging visible or invisible differences, our community authentically values each member's earthly and eternal worth. We refute ignorance and isolation and embrace deliberate and courageous engagement that exhibits Christ's commandment to love all humankind.
LIMITATIONS AND DISCLAIMER
As a religious educational institution operating under the auspices of The Wesleyan Church, Indiana Wesleyan University is permitted and reserves the right to prefer employees on the basis of religion (42 U.S.C., Sections 2000e-1 and 2000e-2).
The above job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position. Employees will be required to follow other job-related instructions and to perform other job-related duties requested by their supervisor in compliance with Federal and State Laws.
Advertised: 15 May 2026 US Eastern Daylight Time
Applications close: 21 Jun 2026 US Eastern Daylight Time
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