Part-Time Student Bepko Intern - Research Analytics Internship
Indiana University

Department

UITS INSTITUTIONAL ANALYTICS (UA-INAN-IUBLA)

Department Information

At University Information Technology Services (UITS) we provide the technology, tools, and services you need to succeed. UITS supports IU's vision for excellence in research, teaching, outreach, and lifelong learning. We ensure a workplace that encourages growth, flexibility, and creativity, as well as a culture that champions inclusion, diversity, and overall employee well-being through programs supported university wide. As an Equal Opportunity Employer, we believe in each person's potential, and we'll help you reach yours.

For years the Bepko Internship Program has been upholding Chancellor Bepko's commitment to diversity within IT. The program targets applications from Indiana University student populations that are traditionally under-represented in information technology professions and places them in high quality internships where they are mentored by top professionals and gain first-hand experience in their field. Interns are compensated competitively and have the ability to work flexible hours to accommodate class schedules

Job Summary

The Research and Analytics unit within Institutional Analytics is essential to the synthesis of new research and methods to support the mission and strategic goals of Indiana University. Our team of highly skilled data analysts and engineers wrangle a myriad of institutional, state, federal, and other data sources; explore these datasets via data visualizations, traditional statistical techniques, and cutting-edge machine learning methods; and report the results of our analyses in static reports, interactive dashboards, and presentations to provide decision support and knowledge dissemination to a variety of stakeholders, including professional and scholarly organizations, academic departments, and the highest levels of Indiana University leadership on all campuses.

Department-Specific Responsibilities

• Assists with all steps of data preparation prior to analysis, assesses the quality and completeness of the data, recoding, imputing missing data, and performs data transformations.
• Performs and reports on preliminary data discovery including creating data visualizations, exploring frequencies and distributions, preparing initial statistical analysis, and looking for interesting patterns and peculiarities in the data.
• Assists with or oversees advanced statistical and/or machine learning analyses to the extent deemed appropriate in terms of the project and the skill level of the applicant.
• Assists with or oversees the preparation of deliverables, which may include manually authored reports, reports generated in R markdown or a similar markdown language, Tableau visualizations, or presentations.
• Provides routine updates on project progress via email, updates to our project tracking system, and virtual meetings.
• Provides out-of-the-box insights and suggestions for the best ways to tackle projects.
• Provides and accepts professional critique and analysis from colleagues to ensure that the team presents the highest quality work in terms of ethical considerations, data veracity, interpretation of findings, and appropriateness of tone/accessibility for the audience.
• Alongside full-time staff members, meets with stakeholders to discuss data needs or analysis results.

Qualifications

EDUCATION

Required

• Currently enrolled as a student at Indiana University, majoring in Data Science, Statistics, or a relevant social sciences field (e.g., public policy, psychology, anthropology) with some background in statistics

Preferred

• Graduate student majoring in Data Science, Statistics, or a relevant social sciences field (e.g., public policy, psychology, anthropology) with some background in statistics

WORK EXPERIENCE

Required

• Experience extracting, cleaning, and preparing data sets for analysis

Preferred

• Professional experience in an applied research setting providing decision support to internal or external stakeholders

SKILLS

Required

• Knowledge of R, Python, SAS, or similar languages used for statistical analysis and/or data science (preferably R)
• Some knowledge of SQL
• Strong understanding of basic concepts of applied statistics, such as sampling and sampling distributions, central tendency, statistical significance and hypothesis testing, and regression
• Some combination of more advanced statistical knowledge and/or machine learning (preferably using R)
• Ability to manage projects or portions of projects in a remote setting with little day-to-day supervision
• Ability to provide and receive critique in a professional manner
• Ability to communicate technical concepts to a wide variety of audiences

Preferred

• Experience with Tableau

Work Location

Bloomington campus

Benefits Overview

For full-time staff employees, Indiana University offers a wide array of benefits including:

• Multiple plan options for medical insurance
• Dental insurance
• Health Savings Account with generous IU contribution
• Life insurance, LTD, and AD&D options
• Base retirement plan contribution from IU, subject to vesting
• Additional supplemental retirement plan options
• Tuition benefit for IU classes
• 10 paid holidays per year
• Generous Paid Time Off
• Paid Parental Leave
• Employee Assistance Program (EAP)

Learn more about our benefits by reviewing our online Benefits Brochure.

Job Classification

Career Level: Part Time Employee

FLSA: Nonexempt

Job Function: Part Time Employee

Job Family: Part Time Student Employee
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Posting Disclaimer

This posting is scheduled to close at 11:59 pm EST on the advertised Close Date. This posting may be closed at any time at the discretion of the University, but will remain open for a minimum of 5 business days. To guarantee full consideration, please submit your application within 5 business days of the Posted Date.

If you wish to include a cover letter, you may include it with your resume when uploading attachments.

Equal Employment Opportunity

Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment based on individual qualifications. Indiana University prohibits discrimination based on age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status. Indiana University does not discriminate on the basis of sex in its educational programs and activities, including employment and admission, as required by Title IX. Questions or complaints regarding Title IX may be referred to the U.S. Department of Education Office for Civil Rights or the university Title IX Coordinator. See Indiana University's Notice of Non-Discrimination here which includes contact information.

Campus Safety and Security

The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University campuses, is available online. You may also request a physical copy by emailing IU Public Safety at iups@iu.edu or by visiting IUPD.

Contact Us

Request Support
Telephone: 812-856-1234

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