Data Analytics Lead Internships
Data analytics lead internships give university students, recent graduates, and early-career switchers hands-on project experience working with real data pipelines and business problems, mentorship from working data scientists and analytics managers, and, at many employers, a path toward a full-time offer. Roles are concentrated across 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 Lead Internship Market
Who's Hiring



Top Industries Hiring
- Consulting & Professional Services
Tips for Your Data Analytics Lead Internship Search
Apply in the fall for summer internships
Large employers open summer data analytics lead internship applications as early as August or September the year before the program starts. Smaller companies and co-ops post closer to their start dates. Check openings regularly through the fall and apply as soon as a role appears rather than waiting until spring.
Build a portfolio before you apply
For data analytics lead internships, the artifact that gives recruiters something concrete to evaluate is documented project work. Publish two or three end-to-end analyses with the tools used, link your code repositories, and include written summaries of your findings. A portfolio link at the top of your resume does more than a bullet-point skills list.
Work your campus network and apply directly at the same time
Campus career fairs surface structured 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 campus activity widens the pool you reach and increases your chances of landing an offer.
Practice your technical screen out loud before you apply
Data analytics lead intern screens typically include a technical or analytics component, such as SQL queries, data manipulation problems, or a case study interpreting a dataset. Practice solving problems out loud and explaining your reasoning step by step, since interviewers weigh how you think through a problem as much as whether you reach the right answer.
Target structured rotational and cohort programs early
Many larger employers run rotational analytics internship programs designed specifically to train people new to the field, placing interns across multiple teams in a single summer. These programs recruit in the fall, fill fast, and often have dedicated campus contacts. Identify the ones that fit your interests and apply in the first wave.
Set your work-type filter before you start
On-site roles are 50% of the data analytics lead internships listed here. Decide what you can realistically commit to before you search so you are not sorting through roles you cannot take. Filter by location and work type first on Migrate Mate, then apply to the pool that actually fits your situation.
Data Analytics Lead Internships: Frequently Asked Questions
How do I get a data analytics lead internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. The concrete artifact recruiters want to assess for data analytics lead candidates is a portfolio of documented analyses, linked dashboards, or published code repositories. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a data analytics lead internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. For data analytics lead interns, what drives it most is performance on real project deliverables, available headcount on the team at the end of the summer, and return-offer timing discussions that often happen in the final weeks. Position for one by owning your work clearly, but plan your job search independently so you are not counting on it.
When should I apply for data analytics lead internships?
Earlier than most expect. Large employers recruit summer interns the preceding fall, often opening applications in August or September. Smaller companies and co-op programs post closer to start dates, so openings appear year-round. Checking regularly and applying as soon as a role goes live puts you in the first wave before cohorts fill.
Are data analytics lead internships paid?
Most professional data analytics lead internships in the United States are paid. Compensation varies by company size, industry, and location, and listings show it where the employer chooses to disclose it. Unpaid internships exist but are far less common in data and analytics roles at professional organizations.
What should a data analytics lead internship resume include?
Lead with projects, not work history. Two or three complete, documented projects with the tools used and where to see the work carry more weight than an empty employment section. For data analytics lead candidates, that means linked code repositories, published analyses, or case studies showing your end-to-end process. Add relevant coursework, keep it to one page, and put the portfolio link at the top.
Are there remote data analytics lead internships?
Yes. Remote and hybrid roles make up 50% of the data analytics lead internship listings here, with the rest on-site. Remote cohorts fill fast because they draw from a national applicant pool, so apply early and filter by work type to see them before they close.
What is a data analytics rotational internship?
Rotational analytics internships place you on two or three different teams across the program, exposing you to diverse data problems, tools, and stakeholders within a single employer. They are designed for people new to the field, recruit early in the fall cycle, and are competitive because they offer structured mentorship and broad experience in one placement. Apply in the first wave as soon as they open.
Can international students get data analytics lead 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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