Data Analytics Engineer Internships
Data analytics engineer internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Openings are concentrated in Consulting & Professional Services, with World Bank, NIO, and Phamily among the employers posting roles now.
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Job Profile:
Administrative Support Assistant 2 Non-ExemptJob Family:
Administrative SupportTime Type:
Part timeApply before 11:59 PM Arizona time the day before the posted End Date.
Minimum Qualifications:
High School Diploma and two-years (2) experience appropriate to the area of assignment/field; OR, Any equivalent combination of experience and/or training from which comparable knowledge, skills and abilities have been achieved.Job Profile Summary:
Provides routine administrative support to a department or group of professionals in support of department goals.
Job Description:
Position Salary Range:
$20.75 per hour
Career Services (CS) at Arizona State University seeks a motivated Management Intern (MI) for Data & Analytics. The MI will maintain dashboards and create reports focusing on student career outcomes and engagement data, helping our unit make data-driven decisions. The ideal candidate is analytical, detail-oriented, and eager to use modern tech tools to streamline routine workflows.
DAYS AND SCHEDULE : Work location is primarily at the Tempe campus; however, the incumbent may be required to travel to off-campus events and other ASU campuses to perform work, driving their own vehicle. This is a 20-hour per week position and may include some nights and weekends, with flexible days and hours based on programming and communication timelines. This Internship program is a short term-position of a 12-month experience or less. An additional one-year extension may be offered contingent upon an annual review.
What’s in it for you:
Arizona State University offers a comprehensive benefits package that includes valuable employee benefits to enhance the total compensation of its staff. This package includes:
Tuition Reduction Program for staff members, their spouses, and dependents, available on day one.
Low-cost health, dental, vision, and life insurance benefits.
Retirement program designed to promote long-term savings and provide income upon retirement.
Paid time for volunteer and professional development.
10 Paid Holidays and competitive Vacation and Sick accruals each Pay Period.
Wellness program for preventative health education and screenings.
Disability and leave program for income protection.
Employee assistance for free and confidential behavioral health services.
ASU Discounts to sports/events along with discounts with ASU partnerships.
Essential Duties:
Serves in an intern capacity for Career Services with responsibilities that may include:
Dashboards & Reporting: Maintain and build interactive reports using Tableau and Alteryx to track career outcomes and engagement metrics.
Data Management: Write SQL queries to extract and analyze data, ensuring high accuracy and integrity.
Workflow Automation: Use Python scripting and AI tools to automate routine, repetitive tasks and improve operational efficiency.
ASU Collaboration: Partner on cross-functional projects with other ASU units and engage with the wider ASU data community.
Turning data into clear, actionable insights through strong analytical skills.
Supervision & Mentorship
The Career Data Management Intern will report directly to a Career Services staff member and work closely with colleagues supporting data analytics, reporting, and operational efficiency initiatives. The intern will receive:
Weekly one-on-one supervision meetings focused on project updates, workload prioritization, professional development, and ongoing feedback.
Structured goal-setting at the beginning of each semester to align internship projects with learning objectives, departmental priorities, and the intern’s academic and career interests.
Ongoing mentorship and coaching in data management strategies, SQL/Python programming, Tableau/Alteryx reporting, data-informed decision-making, and collaboration within a higher education setting.
Progressive responsibility and autonomy, with opportunities to take ownership of data-facing projects, automations, or reporting components as skills and confidence develop.
Supervision will emphasize reflective learning, inclusive engagement practices, and skill-building relevant to careers in data analytics, business intelligence, higher education, and related fields.
Professional Development & Learning Outcomes
Through this internship, the Career Data Management Intern will gain hands-on experience in:
Data Architecture & Analytics: Designing, maintaining, and supporting data-focused career readiness dashboards and interactive reports using modern tech tools.
Technical Pipeline Management: Writing SQL queries, extracting datasets, and managing data integrity to help the unit make data-driven decisions.
Workflow Automation: Applying Python scripting and AI tools to streamline routine, repetitive operational workflows and improve efficiency.
Metrics & Engagement Tracking: Tracking and analyzing student career outcomes and engagement metrics, synthesizing those insights to inform strategic outreach and service improvements.
Project & Time Management: Managing project timelines, dataset updates, and cross-functional workflow tools to support consistent and accurate institutional reporting.
Stakeholder Collaboration: Partnering with cross-functional campus partners and engaging with the wider ASU data community to ensure aligned data standards and coordinated outreach.
The intern will develop highly transferable skills in programming, business intelligence reporting, data interpretation, project management, and stakeholder collaboration. These competencies will prepare them for future roles in data analytics, business intelligence, higher education administration, student affairs, operational management, and related tech or data-focused professions.
Desired Qualifications:
Enrollment as a graduate student in a closely related field (e.g., data analytics, business intelligence, information technology, computer science, management, higher education, or a related quantitative discipline).
Knowledge of data modeling, dashboarding, or business intelligence strategies.
Proficiency in SQL and Python; hands-on experience with Tableau and Alteryx is highly desirable.
Basic knowledge of project management and workflow automation principles.
Experience organizing datasets, managing timelines, and establishing prior data workflows.
Experience turning complex raw data into clear, actionable, and public-facing insights.
Ability to establish and maintain effective working relationships with diverse stakeholders and technical teams.
Strong analytical, written, and verbal communication skills.
Working Environment:
Activities are performed in an environmentally controlled office setting subject to extended periods of sitting, keyboarding, and manipulating a computer mouse.
Frequent communication to exchange accurate information.
Collaborative, team-oriented environment requiring professional interaction with diverse campus teams and the wider ASU data community.
Department Statement:
Career Services provides comprehensive programs, services, and resources across all four Phoenix-area locations, as well as ASU Online. The staff works collaboratively with Career Services leadership and colleagues at each location and as part of the Educational Outreach and Student Services (EOSS) Vice Presidential area. EOSS supports the ASU student community through services, involvement opportunities, and a rich Sun Devil experience to help students achieve their personal, academic, and career goals. Members of the ASU community aspire to live the Sun Devil Way, creating and sustaining a community that exemplifies achievement, engagement, and responsibility.
ASU offers a tuition discount for the employee, their spouse, and dependents, along with a competitive benefits package including paid vacation and holidays, health insurance, and more. For more information, please visit: https://cfo.asu.edu/benefits .
Driving Requirement:
Driving is not required for this position.Location:
Campus: TempeFunding:
No Federal FundingInstructions to Apply:
Current employees, student workers seeking staff opportunities, and students applying for student worker positions must apply directly through the Workday Jobs Hub.
Please use the link below to log in using single sign-on.
https://www.myworkday.com/asu/d/inst/1$9925/9925$25575.htmldTo be considered, your application must include all of the following attachments:
Cover letter
Resume or CV
Multiple documents may be uploaded in the attachments section. Alternatively, applicants may combine all required materials into a single PDF for submission. Please ensure uploaded documents are clearly labeled and include your name.
Please ensure your resume includes all employment information in month and year format, for example 6/04 to 8/14, along with job title, job duties, and employer name for each position. Your resume should clearly demonstrate how your experience and background meet the minimum and desired qualifications for this position. Incomplete applications or missing required materials may not be considered.
Important: Do not withdraw your application to make edits. Once an application is withdrawn, it cannot be edited, reactivated, or replaced with a new submission. If you have questions or need assistance, please contact The Office of Human Resources Talent Acquisition before the posting close date.
Graduate Assistant, Intern and part-time positions are counted as half time for experience equivalency, meaning one year equals six months of experience.
Only electronic applications will be accepted for this position. By submitting an application, you confirm that the information provided is accurate and complete.
ASU Statement:
Arizona State University is a new model for American higher education, an unprecedented combination of academic excellence, entrepreneurial energy and broad access. This New American University is a single, unified institution comprising four differentiated campuses positively impacting the economic, social, cultural and environmental health of the communities it serves. Its research is inspired by real world application blurring the boundaries that traditionally separate academic disciplines. ASU serves more than 100,000 students in metropolitan Phoenix, Arizona, the nation's fifth largest city. ASU champions inclusive excellence, and welcomes students from all fifty states and more than one hundred nations across the globe.
ASU is a tobacco-free university. For details visit https://wellness.asu.edu/explore-wellness/body/alcohol-and-drugs/tobacco
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other basis protected by law.
Notice of Availability of the ASU Annual Security and Fire Safety Report:
In compliance with federal law, ASU prepares an annual report on campus security and fire safety programs and resources. ASU’s Annual Security and Fire Safety Report is available online at https://www.asu.edu/police/PDFs/ASU-Clery-Report.pdf . You may request a hard copy of the report by contacting the ASU Police Department at 480-965-3456.
Relocation Assistance – For information about schools, housing child resources, neighborhoods, hospitals, community events, and taxes, visit https://cfo.asu.edu/az-resources .
Employment Verification Statement:
ASU conducts pre-employment screening which may include verification of work history, academic credentials, licenses, and certifications.
Background Check Statement:
ASU conducts pre-employment screening for all positions which includes a criminal background check, verification of work history, academic credentials, licenses, and certifications. Employment is contingent upon successful passing of the background check.
Fingerprint Check Statement:
A fingerprint check is not required for this position.Data Analytics Engineer Internship Market
Who's Hiring



Top Industries Hiring
- Consulting & Professional Services
Tips for Your Data Analytics Engineer Internship Search
Apply before the recruitment window closes
Large employers, including major tech companies and financial institutions, open summer internship applications the preceding fall and close them months before the start date. Smaller companies and co-op programs post closer to their actual start dates. Check listings consistently from early fall onward rather than waiting until spring.
Build a project portfolio before you apply
Hiring teams for data analytics engineer internships assess candidates on real artifacts, not work history. Publish two or three end-to-end projects on GitHub, document your SQL queries and Python scripts, and include at least one dashboard or analysis you can walk an interviewer through. A portfolio gives recruiters something concrete to evaluate when your resume is light on experience.
Work your campus network and apply directly at the same time
Campus career fairs surface structured internship programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Applying directly to companies running smaller cohorts alongside that campus activity widens the pool you reach and catches openings that never appear at a fair.
Practice the analytics interview screen before applying
Data analytics engineer intern screens typically combine a technical component, such as a SQL or Python coding challenge, with questions on data modeling or pipeline design. Practice explaining your reasoning out loud as you work through problems, since interviewers weigh how you approach a question as much as the final answer. Timed mock sessions with a partner help more than solo review.
Target structured internship programs at larger companies
Many large employers run dedicated analytics or data engineering rotational programs designed to train people new to the field. These cohort programs offer structured mentorship, cross-team exposure, and clear conversion pathways, but they recruit early and fill fast. Identify the programs that match your background, add them to your target list, and apply in the first application wave.
Set your work-type filter before you start searching
On-site roles are 44% of the data analytics engineer internships listed here. Decide what you can realistically commit to before you start reviewing openings, then filter by location and work type on Migrate Mate so you're not spending time on roles that don't fit your situation. Locking in that filter first makes the rest of your search faster and more focused.
Data Analytics Engineer Internships: Frequently Asked Questions
How do I get a data analytics engineer internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. Build a portfolio that gives recruiters something concrete to assess, such as linked GitHub repositories, published dashboards, or documented analyses showing your SQL, Python, and data pipeline work. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a data analytics engineer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What drives it for data analytics engineer interns is consistent performance on real project work, available headcount on the team, and whether the employer runs a structured conversion process. Position yourself by delivering on your assigned scope and communicating your interest early, without counting on it as a certainty.
When should I apply for data analytics engineer internships?
Earlier than most candidates expect. Large tech and finance employers recruit summer interns the preceding fall, sometimes opening applications in August or September. Smaller companies, startups, and co-op programs post closer to their actual start dates, so openings appear year-round. Checking listings regularly rather than waiting for a single recruitment season gives you a wider window of opportunities.
Are data analytics engineer internships paid?
Most professional data analytics engineer internships in the United States are paid. Compensation varies by company size, industry, and location, and specific figures are not universal. Where an employer discloses pay, it appears directly in the listing, so reviewing postings individually is the most reliable way to understand what a given role offers.
What should a data analytics engineer internship resume include?
Lead with two or three complete, documented projects that show the tools you used and link to the actual work, such as a GitHub repository with clean SQL and Python code, a published Tableau or Looker dashboard, or a written case study walking through a data pipeline you built. Add relevant coursework in statistics, databases, or data engineering, and keep the whole document to one page.
Are there remote data analytics engineer internships?
Yes. Remote and hybrid roles make up 56% of the data analytics engineer internship listings here, with the rest on-site. Remote cohorts tend to fill quickly because they attract applicants from across the country, so apply early once you decide remote is workable for you, and use the work-type filter to surface those roles without sorting through positions you cannot take.
Can international students get data analytics engineer internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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