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Internship Virtual Data Analyst 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

Data Analyst Location: Atlanta, Georgia (Onsite) Role Overview We are seeking a Data Analyst to ... Everforth Apex uses a virtual recruiter as part of the application process. Click for more details.

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 access ... Bachelor's degree * 2-4 years of professional work experience (including internships) in an Analyst ...

Bachelor s or Master s degree in Computer Science, Information Systems, IT, Data Analytics, Business Analytics, Statistics, or a related field * 0 2 years of experience or relevant internships in ...

Data Analyst Location: Charlottesville, VA 22902 Duration: 12+ Months 8am to 4.30pm Description ... Virtual IVs but reserves the option to request an IN PERSON IV if needed. The selected candidate ...

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)

... or internships, performing national security-related analytics; preference for research ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

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 ...

... or internships, performing national security-related analytics; preference for research ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

... or internships, performing national security-related analytics; preference for research ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

Data Analyst

Greenwood Village, CO · Hybrid

$50 - $60/hr

The Data Analyst will be instrumental in this process by transforming raw data from multiple ... Apex uses a virtual recruiter as part of the application process. Click for more details. If you ...

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 ...

As a Data Analyst Intern within our Customer Experience team, you will help turn customer and ... This internship is a great opportunity for a student who enjoys working with data, is curious about ...

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 ...

Position Overview As a Data Analyst, you will lead complex analytical projects and advise IAD ... Regardless of physical location, all team members are required to maintain a full virtual presence ...

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Internship Virtual Data Analyst information

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How much do internship virtual data analyst jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for internship virtual data analyst in the United States is $44.35, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $55.29 per hour, depending on experience, location, and employer.

What is the difference between Internship Virtual Data Analyst vs Virtual Data Analyst?

AspectInternship Virtual Data AnalystVirtual Data Analyst
CredentialsTypically pursuing or recent graduate, some may have basic data analysis certificationsOften requires a degree in data science, statistics, or related field, with professional certifications preferred
Work EnvironmentRemote internship, supervised by a team, limited responsibilitiesRemote or hybrid, full responsibilities, more independent work
Employer & Industry UsageInternship programs in tech, finance, marketing, and consulting firmsFull-time or freelance roles across various industries including tech, finance, healthcare

The main difference is that an Internship Virtual Data Analyst is an entry-level, temporary position aimed at gaining experience, while a Virtual Data Analyst is a more experienced, often full-time role with greater responsibilities. Internships serve as a stepping stone into the data analysis field, whereas virtual data analyst positions are typically permanent or long-term roles requiring more skills and expertise.

What are the key skills and qualifications needed to thrive as an Internship Virtual Data Analyst, and why are they important?

To thrive as an Internship Virtual Data Analyst, you need a solid understanding of data analysis concepts, basic statistics, and proficiency in spreadsheet tools, often supported by coursework in data science or related fields. Familiarity with data visualization tools like Tableau or Power BI, and knowledge of programming languages such as Python or SQL, are typically expected. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and present findings clearly. These skills are vital for transforming raw data into actionable insights that drive business decisions.

What types of projects do Virtual Data Analyst interns typically work on, and how are these assignments structured?

As a Virtual Data Analyst intern, you'll often work on projects involving data cleaning, exploratory data analysis, and generating visual reports to support business decisions. Assignments are usually structured as short-term tasks or components of larger ongoing projects, and you'll likely collaborate with remote teams using digital communication and project management tools. Interns are encouraged to participate in regular check-ins, present findings, and seek feedback from mentors, which provides excellent opportunities for learning and professional development.

What are Internship Virtual Data Analysts?

Internship Virtual Data Analysts are students or recent graduates who remotely assist organizations in collecting, processing, and analyzing data to support business decisions. They work online, often from home, and use various data analysis tools and software to clean, interpret, and visualize data. These internships help individuals gain practical experience in data analytics, improve technical skills, and learn how to communicate insights effectively. Virtual data analyst interns often collaborate with teams, contribute to reports, and may also help automate data processes. This role is ideal for those interested in data science, business analytics, or related fields.
What cities are hiring for Internship Virtual Data Analyst jobs? Cities with the most Internship Virtual Data Analyst job openings:
What are the most commonly searched types of Virtual Data Analyst jobs? The most popular types of Virtual Data Analyst jobs are:
What states have the most Internship Virtual Data Analyst jobs? States with the most job openings for Internship Virtual Data Analyst jobs include:
Infographic showing various Internship Virtual Data Analyst job openings in the United States as of June 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $92,247 per year, or $44.3 per hour.
Data Analyst

Data Analyst

Purdue University

West Lafayette, IN • On-site

Full-time

Retirement

Posted 23 days ago


Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

262nd of 537 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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