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Data Analytics Virtual Internship Jobs (NOW HIRING)

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.

Providing effective and creative classroom and virtual facilitation of training for all levels of ... Experience analyzing data systems, with strong aptitude for conducting quantitative and qualitative ...

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 ...

Providing effective and creative classroom and virtual facilitation of training for all levels of ... Experience analyzing data systems, with strong aptitude for conducting quantitative and qualitative ...

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Data Analytics Virtual Internship information

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

As of Jul 18, 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, and why are they important?

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 July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Business Solutions & Data Analytics Intern

Business Solutions & Data Analytics Intern

BUMBLE BEE FOODS, LLC

San Diego, CA โ€ข On-site

$24 - $25/hr

Internship

Medical, Dental, Vision, Life, Retirement

Re-posted 5 days ago


Job description

Description:

The Business Solutions & Data Analytics Intern will support the newly established BSDA team in driving data-informed decision-making across the organization. This role provides hands-on experience working with modern data tools and technologies including Power BI, SQL, Python, and emerging AI applications.

The ideal candidate is highly curious, analytical, and excited to learn, with a strong foundation in data and programming.


This internship is designed to provide meaningful exposure to real-world business problems and offers the potential for future growth within the organization for high-performing candidates.



RESPONSIBILITIES:

  • Support development and maintenance of interactive dashboards and reports using Power BI to deliver insights to business stakeholders
  • Assist in writing and optimizing SQL queries to extract, transform, and analyze data from various systems
  • Utilize Python (or similar tools) to perform data analysis, automation, and data preparation tasks
  • Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions
  • Help clean, validate, and organize large datasets to ensure data accuracy and integrity
  • Assist in exploratory data analysis to identify trends, patterns, and improvement opportunities
  • Contribute to ongoing projects related to data modeling, reporting enhancement, and process improvement
  • Support the evaluation and application of emerging technologies, including AI tools, to improve business efficiency and decision-making
  • Document processes, workflows, and solutions to support knowledge sharing across the team


EDUCATION / EXPERIENCE / SKILLS REQUIRED:

  • Currently pursuing or recently completed a Bachelorโ€™s degree in Data Science, Computer Science, Mathematics, Statistics, Business Analytics, or a related field
  • Exposure to programming languages such as Python and SQL required;
  • Familiarity with data analysis libraries (e.g., pandas, NumPy) and data visualization tools (e.g., Power BI, Tableau) preferred
  • Strong analytical and problem-solving skills with attention to detail
  • Ability to work with large datasets and maintain high levels of data accuracy
  • Eagerness to learn new technologies and apply them in a business environment, including AI-related tools
  • Strong communication skills and ability to explain data concepts to non-technical stakeholders
  • Self-motivated with the ability to manage multiple tasks and meet deadlines


COMPENSATION:

The pay for this internship is $24.00 โ€“ $25.00 per hour.

Please note, however, that Bumble Bee Foods, LLC, in its sole discretion, may modify the above compensation.

We also offer other benefits including:

  • Sick-flex time
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • HSA & FSA
  • Life insurance
  • AD&D (Accidental Death & Dismemberment) Insurance
  • Disability insurance (Short Term and Long Term Disability)
  • EAP (Employee Assistance Program)
  • And other voluntary company benefits (Critical Illness, Hospital Indemnity)
  • 401K with employer match
  • Membership to WellHub, a Health & Wellness Benefit

ABOUT THE BUMBLE BEE SEAFOOD COMPANY

The Bumble Bee Seafood Company is passionately pursuing its purpose of feeding peopleโ€™s lives through the power of the ocean. We are an iconic 125-year-old year-old fishing company that consistently aims to deliver delicious, healthy, and affordable food to consumers while working hard to find new ways to protect the ocean and those that rely on it. Bumble Bee is firmly anchored in a commitment to connect the world to the ocean by re-defining sourcing, producing, and enjoying products from and inspired by the ocean.

Bumble Beeโ€™s full line of seafood and specialty protein products are marketed in the U.S., Canada and over 50 markets globally under leading brands including Bumble Beeยฎ, Brunswickยฎ, Clover Leafยฎ, Snowโ€™sยฎ, and Beach Cliffยฎ. For more information about the company, visit TheBumbleBeeCompany.com. For product information, visit www.BumbleBee.com.


Bumble Bee Foods, LLC is an Equal Opportunity Employer/ Affirmative Action employer. Employment decisions are based on merit, qualifications, and business needs. We do not discriminate based on race (including hair texture and protective hairstyles), color, religion, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, medical condition, veteran status, or any other protected status under federal, state, or local law.


If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request accommodation, contact Bumble Bee Foods, LLC Human Resources Representative.

Requirements:
  • Currently pursuing or recently completed a Bachelorโ€™s degree in Data Science, Computer Science, Mathematics, Statistics, Business Analytics, or a related field
  • Exposure to programming languages such as Python and SQL required;
  • Familiarity with data analysis libraries (e.g., pandas, NumPy) and data visualization tools (e.g., Power BI, Tableau) preferred
  • Strong analytical and problem-solving skills with attention to detail
  • Ability to work with large datasets and maintain high levels of data accuracy
  • Eagerness to learn new technologies and apply them in a business environment, including AI-related tools
  • Strong communication skills and ability to explain data concepts to non-technical stakeholders
  • Self-motivated with the ability to manage multiple tasks and meet deadlines