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Graduate Assistant Data Analyst Jobs in Utah (NOW HIRING)

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

Support corporate-facing reporting deliverables including operating metrics, budget summaries, and performance tracking * Assist with ad hoc data pulls and analysis as needed by leadership What We're ...

The Data Analyst I is an entry-level analytics professional responsible for collecting, analyzing ... * Assist in identifying trends, patterns, and opportunities within large datasets. * Collaborate ...

... Analysis and Closeout. • Assist with subcontracts. • Update project system (CMIC). • Job site visits to attend meetings, obtain photos and support Superintendents. • Update and distribute 6 ...

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Graduate Assistant Data Analyst information

What is the difference between Graduate Assistant Data Analyst vs Data Analyst?

AspectGraduate Assistant Data AnalystData Analyst
Required CredentialsEnrolled graduate student, often pursuing related fieldsBachelor's degree in data-related field, sometimes a master's
Work EnvironmentAcademic institutions, research projects, part-timeCorporate, government, or consulting firms, full-time
Employer & Industry UsageUniversities, research centersBusinesses, organizations across industries
Common Search & ComparisonYesYes

The main difference is that a Graduate Assistant Data Analyst is typically a graduate student working part-time in academic or research settings, focusing on supporting projects while pursuing their degree. In contrast, a Data Analyst is usually a full-time professional employed by organizations to analyze data and inform business decisions. Both roles require data analysis skills, but their work environments and commitments differ.

What are Graduate Assistant Data Analysts?

Graduate Assistant Data Analysts are graduate students who support academic or administrative departments by analyzing data, preparing reports, and assisting with research projects. They typically use statistical software and data visualization tools to interpret data and provide insights to faculty, staff, or research teams. Their work helps inform decision-making, improve processes, and contribute to academic research. These positions often provide students with valuable hands-on experience in data analysis while they complete their graduate studies.

What are the key skills and qualifications needed to thrive as a Graduate Assistant Data Analyst, and why are they important?

To thrive as a Graduate Assistant Data Analyst, you need a strong foundation in statistics, data analysis, and research methods, typically supported by enrollment in a relevant graduate program. Proficiency in data analysis tools such as Excel, Python, R, and SQL, as well as experience with data visualization platforms like Tableau or Power BI, is essential. Strong attention to detail, critical thinking, and effective communication skills help you interpret data accurately and present findings clearly. These skills and qualities are crucial for generating reliable insights that support institutional research and decision-making.

What types of projects and tasks can a Graduate Assistant Data Analyst expect to work on during a typical semester?

As a Graduate Assistant Data Analyst, you can expect to work on a variety of projects, such as data cleaning, generating reports, performing statistical analyses, and assisting faculty or departments with research-related data needs. Your daily tasks may include collecting and organizing datasets, using analytical tools like Excel, SPSS, or Python, and collaborating with professors or research teams to support ongoing projects. This role often provides exposure to real-world data challenges and offers opportunities to develop both technical and communication skills while working in an academic or research-focused environment.
What are popular job titles related to Graduate Assistant Data Analyst jobs in Utah? For Graduate Assistant Data Analyst jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Graduate Assistant Data Analyst jobs? Cities in Utah with the most Graduate Assistant Data Analyst job openings:
Data Analyst Assistant

Data Analyst Assistant

Brevium

American Fork, UT • On-site

$20 - $22/hr

Part-time

Posted 5 days ago


Job description

Job Title: Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus
Location: American Fork, Utah (In Office)
About Us:
Brevium is a dynamic and innovative healthcare technology company located in American Fork, Utah. We specialize in providing cutting-edge solutions for healthcare practices, with a commitment to improving patient care and operational efficiency. Our team is dedicated to delivering advanced data analytics and insights to empower healthcare professionals.
Responsibilities:
  • Collaborate with the data science team to understand, enhance, and maintain existing Python and SQL programs.
  • Utilize Python for data analysis, employing libraries such as pandas, plotly, and sklearn.
  • Execute SQL queries for database retrieval, data manipulation, and integration tasks.
  • Assist in troubleshooting and debugging code-related issues in Python and SQL.
  • Document and present analysis results using data visualization tools such as plotly, matplotlib, and Excel.
  • Documenting code and analysis procedures.
  • Assist in the development and implementation of machine learning models for predictive analysis using industry-leading tools.
  • Able to communicate with Sales team to know what data insights are needed.

Qualifications:
  • Current student pursuing a degree in Computer Science, Data Science, Information Science, or a related field.
  • Proven experience in data analysis, with a strong focus on extracting actionable insights.
  • Proficiency in Python programming language, with experience in libraries such as pandas, plotly, sklearn.
  • Strong understanding of SQL for querying databases, retrieving data, and performing data manipulation tasks.
  • Familiarity with data cleaning, preprocessing, and statistical methods.
  • Ability to read, understand, and modify existing code for data analysis and visualization in Python and SQL.
  • Excellent communication skills.
  • Proficient in Excel.

Preferred Skills:
  • Intermediate to advanced python and SQL server skills.
  • Experience with data visualization tools like plotly and matplotlib.
  • Previous exposure to working with databases and data manipulation tasks.
  • Familiarity with statistical analysis tools and techniques.
  • Strong organizational skills and ability to be self motivated.

Working Hours:
• 20 hours per week (flexible schedule to accommodate academic commitments).
Compensation $20-22/hr