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Full Time Data Analyst Internship Jobs (NOW HIRING)

Data Analyst City: West Lafayette Job Summary The Institutional Data Analytics + Assessment (IDA+A ... P2: 2+years (a full-time internship may count toward experience) * P3: 4+years * P4: 6+years

Our internship program offers practical corporate work experience that could lead to full-time work ... The Data Analyst Intern will support the Retirement Operations team by helping transform data into ...

... full-time position with an initial 6-month term. Employment may be extended based on business needs and performance but is not guaranteed. We are seeking a Data Analyst to join our growing team. In ...

Our internship program offers practical corporate work experience that could lead to full-time work ... The Data Analyst Intern will support the Retirement Operations team by helping transform data into ...

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Demonstrated interest in the Department of Defense environment through internships, military ... with data visualization tools such as PowerBI, Tableau, Plotly, or RStudio. * Strong analytical ...

This role is a full-time position located out of our office in Arlington, VA. This role requires 60 ... or internships, performing national security-related analytics; preference for research ...

This role is a full-time position located out of our office in Arlington, VA. This role requires 60 ... or internships, performing national security-related analytics; preference for research ...

For more information about Data Ideology, visitwww.dataideology.com Data Analyst Job Type: Full-Time, 6-Month Fixed-Term (Renewable) This is a full-time position with an initial 6-month term.

At Windfall, data isn't just a resource-it's our product. We are on a mission to democratize access ... Bachelor's degree * 2-4 years of professional work experience (including internships) in an Analyst ...

Data Analyst

San Francisco, CA · On-site

$90K - $120K/yr

At Windfall, data isn't just a resource-it's our product. We are on a mission to democratize access ... Bachelor's degree * 2-4 years of professional work experience (including internships) in an Analyst ...

At Windfall, data isn't just a resource--it's our product. We are on a mission to democratize ... Bachelor's degree * 2-4 years of professional work experience (including internships) in an Analyst ...

Position Summary The Data Analyst administers and improves key business applications while ... role (internships, co-ops, and relevant project work count toward entry-level experience)

Experience: 2+ years of experience in data analytics, reporting, or related technical roles (internships, academic projects, or hands-on experience acceptable). Experience working with structured ...

... internships or academic. * Proficient in Excel and other basic data analysis tools. * Working knowledge of SQL and relational databases. * Exposure to data visualization tools such as Tibco Spotfire ...

The Owned Eye Care Data Analytics Internship is an incredible opportunity to put your skills to the test and apply your theoretical knowledge in a real-life business environment. At VSP Vision, we're ...

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Full Time Data Analyst Internship information

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How much do full time data analyst internship jobs pay per hour?

As of May 30, 2026, the average hourly pay for full time data analyst internship in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Data Analyst Intern, and why are they important?

To thrive as a Full Time Data Analyst Intern, you need a solid understanding of statistics, data analysis, and proficiency in tools like Excel, typically supported by coursework in mathematics or computer science. Familiarity with SQL, data visualization platforms such as Tableau or Power BI, and programming languages like Python or R is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are essential for transforming raw data into actionable insights that support business decisions and drive organizational success.

What types of projects and tasks are typically assigned to Full Time Data Analyst Interns, and how do these contribute to both personal development and team goals?

Full Time Data Analyst Interns are often assigned projects such as cleaning and organizing large datasets, building data visualizations, and supporting the team with ad hoc analysis for ongoing business questions. These tasks not only help develop technical skills in tools like Excel, SQL, and Python, but also enhance problem-solving abilities and communication, as interns frequently present their findings to both technical and non-technical stakeholders. Contributing to real business projects allows interns to see the impact of their work and builds a foundation for future full-time opportunities within the organization. Interns are usually paired with mentors or team leads, ensuring they receive guidance while also being challenged to grow.

What is a Full Time Data Analyst Internship?

A Full Time Data Analyst Internship is a temporary, paid or unpaid position where interns work full-time hours to gain practical experience in data analysis. Interns typically assist with collecting, cleaning, and analyzing data to help organizations make informed decisions. They work with tools like Excel, SQL, and data visualization software under the supervision of experienced analysts. The internship provides valuable hands-on experience and can be a pathway to a full-time data analyst role after graduation.

What is the difference between Full Time Data Analyst Internship vs Part Time Data Analyst Internship?

AspectFull Time Data Analyst InternshipPart Time Data Analyst Internship
Work HoursTypically 35-40 hours/weekLess than 20 hours/week
DurationUsually 3-6 monthsFlexible, often shorter or ongoing
CredentialsEnrolled in or recent graduate of relevant degree programsSimilar requirements, often students or recent grads
Work EnvironmentFull-time, in-office or remotePart-time, flexible schedule, often remote

Full Time Data Analyst Internships offer immersive experience with consistent hours, ideal for gaining comprehensive skills. Part Time Data Analyst Internships provide flexibility, suitable for students balancing other commitments. Both roles typically require similar educational backgrounds and industry usage, but differ mainly in hours and commitment level.

More about Full Time Data Analyst Internship jobs
What cities are hiring for Full Time Data Analyst Internship jobs? Cities with the most Full Time Data Analyst Internship job openings:
What are the most commonly searched types of Data Analyst Internship jobs? The most popular types of Data Analyst Internship jobs are:
What states have the most Full Time Data Analyst Internship jobs? States with the most job openings for Full Time Data Analyst Internship jobs include:
Infographic showing various Full Time Data Analyst Internship job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Data Analyst

Data Analyst

Purdue University

West Lafayette, IN • On-site

Full-time

Retirement

Posted 7 days ago


Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

261st of 529 rated colleges and universities


Job description

Req Id: 42215
Job Title: Data Analyst
City: West Lafayette
Job Description:
Job Summary
The Institutional Data Analytics + Assessment (IDA+A) office is seeking a Data Analyst (P@), Senior Data Analyst (P3), or Lead Data Analyst (P4). This role supports high-visibility institutional priorities through advanced analytics, reporting, and strategic insight, enabling leaders to make informed decisions that impact students, faculty, and operations at scale.
In this role, you will contribute to research, statistical analysis, report development, dashboard creation, and evidence-based decision support. Working closely with a broad range of campus stakeholders, you will support data-informed decision-making for both day-to-day operations and broader institutional initiatives.
This position will be filled at the appropriate career level (P2, P3, or P4) based on the selected candidate's skills and experience. Responsibilities, scope, and influence increase with level. All levels emphasize collaboration, teamwork, and the delivery of clear, insightful, actionable, and customer-focused analytics. Depending on level, you will work alongside analytics colleagues (P2), mentor and influence peers (P3), or lead complex initiatives and set analytical standards (P4), while partnering closely with staff in assessment, data engineering, data science, and data governance.
Fully remote and hybrid work options are available.
For full consideration, an attached resume and cover letter are required.
This posting represents multiple vacancies.
Responsibilities
  • P2 (Data Analyst): Executes analyses, builds reports, develops technical skills
  • P3 (Senior): Leads projects, mentors peers, improves data quality and practices
  • P4 (Lead): Drives strategy, leads large initiatives, sets standards across domains

Support Data and Information Needs (All Levels)
  • Deliver timely, accurate routine and ad hoc reports, dashboards, and analyses
  • Create and maintain curated data sets to support reporting and analytics
  • Conduct descriptive, summary, and statistical analyses (e.g., regression, ANOVA)
  • Interpret results and communicate findings clearly to technical and non-technical stakeholders
  • Independently complete analytical projects of increasing complexity based on level

Training, Documentation, and Metadata (All Levels)
  • Author and maintain metadata, data definitions, and technical specifications
  • Contribute to training materials and documentation supporting data fluency
  • Provide system administration support for the Data Cookbook and enterprise metadata tools

Participate in the Purdue Data Community (All Levels)
  • Collaborate with campus data partners to enhance data quality and shared understanding
  • Communicate effectively with stakeholders across functional and technical areas
  • Model best practices in data stewardship, documentation, and responsible data use

Enhance Data Quality and Analytical Standards (P3 & P4)
  • Collaborate with campus partners to improve data quality through enhancements and process improvements
  • Resolve complex data quaity issues spanning multiple subject areas or systems
  • Develop and execute validation plans for new data sets and business intelligence updates
  • Influence adoption of standards, best practices, and consistent analytical approaches

Strategic Partnership & Leadership (P3 & P4)
  • Build deep understanding of functional areas such as Enrollment Management Communications, the Registrar, Admissions, and/or Financial Aid
  • Translate functional needs into tailored analytical solutions
  • Serve as a trusted analytics partner for assigned domains

Leadership & Impact (P4)
  • Lead large, complex, and often ambiguous analytics initiatives with cross-departmental impact
  • Set analytical standards and guide approaches for reporting, validation, and data use
  • Mentor and coach analytics colleagues; review and guide others' work
  • Provide measurable input into planning, prioritization, and strategic initiatives
  • Serve as a subject-matter expert representing IDA+A in campus-wide efforts

What We're Looking For:
  • Bachelor's degree
  • Experience in data extraction, processing, visualization, and analysis:
  • P2: 2+years (a full-time internship may count toward experience)
  • P3: 4+years
  • P4: 6+years
  • Strong communication skills, including presenting findings and maintaining documentation
  • Ability to work effectively with stakeholders at all organizational levels
  • Ability to handle sensitive and confidential data responsibly
  • Experience with BI tools (Tableau preferred)
  • Knowledge of relational databases and reporting tools (SQL and Cognos preferred)
  • Experience conducting statistical analysis (e.g., SAS, SPSS, Minitab)
  • Strong attention to detail, quality, and self-directed work

What Is Helpful:
Applicants are not expected to meet every preferred qualification.
  • Degree in Business, Management, Financial Management, MIS, CIT, Math/Statistics, Behavioral & Social Sciences, or a related field
  • Master's degree
  • Experience with SQL, Tableau, Cognos, SAS, SPSS, Minitab, R. Python, Excel, and PowerPoint
  • Experience supporting higher education data, analytics, or reporting environments
  • Experience using generative AI tools to support analytical workflows (e.g., documentation, exploratory analysis, summarization), with attention to responsible and ethical use

What We Want You To Know:
  • Fully remote and hybrid work options are available
  • This posting represents multiple vacancies
  • For full consideration, an attached resume and cover letter are required
  • Purdue will not sponsor employment authorization for this position
  • A background check is required for employment in this position
  • FLSA: Exempt (Not eligible for overtime)
  • Retirement Eligibility: Defined Contribution Waiting Period
  • Purdue University is an EO/EA University.

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