ZipRecruiter

Log In

2

Part Time Data Analytics Graduate Jobs (NOW HIRING)

Recruit Monitor

Remote Data Analyst

Phoenix, AZ · On-site

Although part time data entry staff as well as administrative aide expertise are not necessary, they are very beneficial. Project Benefits Involvement in online and also in-person conversations. If ...

previous pagenext page

Showing results 21-40

All JobsPart Time JobsTechnology JobsData JobsBusiness Intelligence Analyst JobsPart Time Data Analytics Graduate Jobs

Part Time Data Analytics Graduate information

See salary details

$24

$54

$94

How much do part time data analytics graduate jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for part time data analytics graduate in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is a part time data analytics graduate?

Part time data analytics graduates are individuals who have completed or are pursuing a graduate-level program in data analytics while studying on a part-time basis. This flexible arrangement allows them to balance their education with work or other commitments. These graduates gain skills in data analysis, statistical methods, and data-driven decision making. They are often well-prepared for roles in data analysis, business intelligence, and related fields, even while continuing to work or fulfill other responsibilities.

What types of projects or tasks can a part time data analytics graduate expect to work on within a typical organization?

As a Part Time Data Analytics Graduate, you can expect to assist with data cleaning, exploratory data analysis, and the creation of visual reports to support business decision-making. You'll likely work closely with senior analysts and cross-functional teams, contributing to ongoing projects by gathering and interpreting data from various sources. This role often involves balancing multiple assignments on a flexible schedule, which helps you build practical skills while managing academic commitments. Collaboration, adaptability, and effective communication are key to succeeding in this environment.

What are the key skills and qualifications needed to thrive as a part time data analytics graduate, and why are they important?

To thrive as a Part Time Data Analytics Graduate, you should have a solid grasp of statistics, data analysis, and foundational knowledge in programming languages such as Python or R, often supported by a relevant degree or coursework. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheets, and databases (SQL) is typically expected. Strong problem-solving abilities, attention to detail, and effective communication help you interpret and present data insights clearly. These skills and qualities are essential for transforming raw data into actionable recommendations that support business decision-making.

What is the difference between Part Time Data Analytics Graduate vs Data Analyst?

AspectPart Time Data Analytics GraduateData Analyst
QualificationsTypically a recent graduate or student pursuing a degree in data analytics, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related disciplines; certifications are a plus
Work EnvironmentPart-time roles, often flexible hours, in educational or entry-level settingsFull-time or part-time roles in various industries, including finance, marketing, and healthcare
Employer & Industry UsageInternships, entry-level positions in tech, finance, or consulting firmsEstablished companies across multiple sectors seeking data analysis skills

The main difference is that a Part Time Data Analytics Graduate is typically an entry-level, flexible role suited for students or recent graduates, focusing on gaining experience. In contrast, a Data Analyst is a more established position requiring specific skills and often full-time employment, with broader industry applications.

What cities are hiring for Part Time Data Analytics Graduate jobs?

Cities with the most Part Time Data Analytics Graduate job openings:

What are the most commonly searched types of Data Analytics Graduate jobs?

The most popular types of Data Analytics Graduate jobs are:

What states have the most Part Time Data Analytics Graduate jobs?

States with the most job openings for Part Time Data Analytics Graduate jobs include:

Part Time Data Analytics Graduate jobs near you
Infographic showing various Part Time Data Analytics Graduate job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

GA Research: CHSSA- Data Analytics & Decision Support

Commerce, TX • On-site

East Texas A&M University
See more jobs at East Texas A&M Universityexternal

Part-time

Posted 19 days ago

Key responsibilities

  • Retrieve, organize, analyze, and present data from university data systems to support college planning and decision-making.

  • Build and maintain reports, dashboards, and visualizations such as charts and tables for college leadership.

  • Support data requests, monitor enrollment trends, and assist with analysis of faculty workload, academic programs, and college operations.

Job description

Job Title
GA Research: CHSSA- Data Analytics & Decision Support
Agency
East Texas A&M University
Department
CHSSA
Proposed Minimum Salary
Commensurate
Job Location
Commerce, Texas
Job Type
Graduate Assistant
Job Description
Graduate Assistant - Data Analytics & Decision Support
Office of the Dean, College of Humanities, Social Sciences & Arts
Position Summary
The Graduate Assistant for Data Analytics & Decision Support supports the Dean's Office in collecting, organizing, analyzing, and presenting data used for college planning and decision-making. The position will work with enrollment, faculty workload, academic programs, and other college-level data and will help develop clear, reliable reports and visualizations for college leadership.
Responsibilities
  • Retrieve, organize, and analyze data from WebFOCUS, Banner, and other university data systems.
  • Monitor and analyze enrollment trends, including enrollment by program, degree level, department, course, and term.
  • Assist with analysis of faculty workload, teaching assignments, course enrollments, and instructional capacity.
  • Build and maintain Excel datasets, workbooks, dashboards, and recurring reports for the Dean's Office.
  • Clean, merge, validate, and document datasets from multiple sources.
  • Create clear charts, tables, dashboards, and other data visualizations for presentations and decision-making.
  • Develop and administer Qualtrics surveys and assist with organizing, analyzing, and reporting survey results.
  • Support recurring and ad hoc data requests related to academic programs, enrollment, faculty, and college operations.
  • Maintain organized documentation of data sources, definitions, reporting procedures, and recurring analyses.
  • Assist in identifying trends, inconsistencies, and questions in college data that warrant further analysis.
  • Handle institutional data in accordance with university requirements for confidentiality, privacy, and data security.
  • Perform other data and analytical duties that support the planning and decision-making needs of the Dean's Office.

Preferred Qualifications
  • Graduate student in good academic standing.
  • Strong proficiency with Microsoft Excel, including formulas, pivot tables, filtering, and data organization.
  • Experience working with quantitative data and large datasets.
  • Ability to learn institutional systems such as WebFOCUS and Banner.
  • Experience with Qualtrics or similar survey software.
  • Experience with data visualization or dashboard tools is preferred.
  • Strong attention to detail and ability to identify errors or inconsistencies in data.
  • Ability to communicate quantitative information clearly to nontechnical audiences.
  • Ability to work independently and maintain confidentiality when working with student and faculty information.

Desired Skills
Experience with Power BI, Tableau, R, Python, SQL, or advanced Excel tools is desirable but not required. More important is demonstrated quantitative ability, attention to detail, and an interest in using data to answer practical questions and support academic decision-making.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.
Equal Opportunity/Veterans/Disability Employer.

Apply