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Data Analytics Virtual Internship Jobs (NOW HIRING)

... data analytics, business analysis, procurement, or a related area; internships and co-op experience considered * -Ability to learn quickly, work independently with guidance, and collaborate across ...

Works under the general supervision of the Missing Child & Data Analytics Team Program Manager ... Two years related work or internship experience preferred. * An equivalent combination of education ...

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

Internal Audit Interns

Manhattan, NY ยท Remote

$17 - $20/hr

The Touro University Virtual Internship is one of America's most ambitious programs for internal ... Strong oral and written communication, accounting, analytical, and decision-making skills.

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

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Data Analytics Virtual Internship information

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$12

$22

$42

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

As of Aug 7, 2026, the average hourly pay for data analytics virtual 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 is a data analytics virtual internship?

A Data Analytics Virtual Internship is a remote learning experience where participants gain practical skills in analyzing and interpreting data using digital tools, often from home or any location with internet access. Interns work on real-world projects, such as data cleaning, visualization, and reporting, to develop their analytical and technical abilities. These internships typically involve using software like Excel, SQL, Python, or Tableau, and may include mentorship or feedback from industry professionals. Virtual internships offer flexibility, making them accessible to students and career changers worldwide. They are a great way to build experience and enhance your resume in the field of data analytics.

What types of real-world projects can I expect to work on during a data analytics virtual internship?

During a Data Analytics Virtual Internship, you can expect to work on projects such as analyzing business datasets, creating dashboards and visualizations, performing data cleaning, and generating actionable insights to support decision-making. These projects often simulate challenges faced by data analysts in various industries, helping you build practical experience with tools like Excel, SQL, or Tableau. You may also collaborate remotely with other interns or mentors, receive feedback on your work, and present findings, all of which mirror typical professional workflows.

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

AspectData Analytics Virtual InternshipData Analyst
CredentialsOften students or entry-level with coursework in data analysisTypically requires a degree in data science, statistics, or related field
Work EnvironmentRemote, project-based, temporaryFull-time or part-time, in-office or remote
Employer & Industry UsageInternships offered by companies for training; industry-wideFull-time roles in various industries like finance, healthcare, tech

The main difference is that a Data Analytics Virtual Internship is a temporary, training-focused opportunity for beginners or students, often remote, while a Data Analyst is a full-time professional role requiring more experience and credentials. Internships serve as a stepping stone into the industry, whereas data analyst positions involve ongoing responsibilities and career development.

What are the key skills and qualifications needed to thrive as a data analytics virtual intern?

To thrive as a Data Analytics Virtual Intern, you need a solid understanding of statistical analysis, data manipulation, and foundational programming skills, often gained through coursework in data science or related fields. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau is typically required. Strong attention to detail, effective communication, and self-motivation help interns stand out when working remotely and collaborating on projects. These skills ensure interns can analyze data accurately, deliver actionable insights, and contribute meaningfully to virtual teams.
More about Data Analytics Virtual Internship jobs
What cities are hiring for Data Analytics Virtual Internship jobs? Cities with the most Data Analytics Virtual Internship job openings:
What states have the most Data Analytics Virtual Internship jobs? States with the most job openings for Data Analytics Virtual Internship jobs include:
Infographic showing various Data Analytics Virtual Internship job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Manager - Data & Analytics

Qvest US

New York, NY โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago


Job description

Who We Are

Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards.


Who We're Seeking
Qvest.US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data lead who can successfully manage projects, teams, and stakeholders.
What You'll Do
  • Manage the project and stakeholders through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment
  • Lead the team through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks
  • Ensure client satisfaction through consistent support, impactful thought leadership and high-quality project execution
  • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication
  • Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations
  • Proactively identify risks, issues and provide mitigation strategies
  • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement
What You'll Bring
  • Eagerness to help build and lead a best-in-class data practice
  • 5+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment
  • Experience with project planning, including tasks, budgeting, resource allocation and balancing
  • 7+ years in a consulting or a data-focused role and expert-level experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar
  • Experience designing and building relational database and/or data warehouses
  • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, Power BI, Looker, etcย 
Preferred Additional Experience
  • A solid understanding of key BI trends and the BI vendor landscape
  • Experience in Media & Entertainment and/or Consumer Products industries
  • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)
  • Cloud computing experience, whether with AWS or other vendors
  • Ability to understand/design small-to-medium size data architectures
  • Ability to automate data-related tasks using scripts and programming languages
  • Ability to profile, explore, and analyze data to identify common data patterns
  • Bachelor's degree in engineering, information systems, computer science, business administration, or other related analytical fields
  • Familiarity with dbt (https://getdbt.com)
Travel Requirements
Employees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee's primary office location, state, or region.ย 
ย 
Remote & Hybrid Work
While remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive.
ย 
Life at Qvest
We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams' skill sets and we prioritize our employees' professional growth paths.ย Qvest USย is currently 300+ people strong and we've been recognized as a "Best Place to Work," a "Great Place to Work," "Fastest Growing," and "A Jewel."
ย 
Equal Employment Opportunity
Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.
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