Research Assistant

Brigham Young University – Hawaii

12d•$17•Onsite

About The Position

The Data Visualization Developer supports Institutional Research by managing and analyzing data, creating and updating dashboards, and collaborating with other departments on data issues. This role is ideal for students who have begun gaining relevant experience and are building their skills through internships, part-time jobs, or significant projects. It is typically aimed at sophomores or juniors who have completed a combination of introductory and advanced coursework. The University Honor Code, including dress and grooming principles and expectations, must be exemplified. Preference will be given to students who can work during academic breaks.

Requirements

Problem-solving and critical thinking abilities.
An understanding of database structure and data integrity, including an ability to clean and manage datasets.
Connecting data sources via various methods.
Familiarity with basic statistical concepts (e.g., descriptive statistics) and software (e.g., R, Excel, SPSS).
Familiarity and experience with survey and data visualization software (e.g., Qualtrics, Domo).
Ability to make meaning of data using appropriate graphs and charts.
Intermediate computer programming.
Strong verbal communication and presentation skills.
Proficient in report writing and interpretation of technical documents.
Ability to start a project and complete it quickly and accurately, work under pressure, and provide excellent customer service.
Lower Division Courses Completed
3 Months of Directly Relevant Experience

Nice To Haves

Students may only have 5 open job applications at a time.
Preference will be given to students who can work during academic breaks.

Responsibilities

Administer surveys, gather and share results, and offer training on survey research methods.
Roll-out and provide support to programs and departments for data visualizations of survey and other data in Domo.
Develop dashboard analytics to specification in Domo using data warehouse as source data.
Use SQL, R, and other technologies for building statistical analysis.
Gather, analyze, and present institutional data for university use and external agencies.
Assist in cleaning datasets, maintaining databases (including understanding database structure), ensuring data accuracy, and proposing solutions for data integrity issues.
Offer technical and statistical assistance for Academic Division initiatives and studies.
Performs other duties as assigned.