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Mba Data Analytics Internship Jobs (NOW HIRING)

... cutting-edge data analyses. More detail can be found on our website: www.cornerstone.com ... your MBA program, we strongly encourage you to apply. Interested Candidates Candidates should ...

... cutting-edge data analyses. More detail can be found on our website: www.cornerstone.com ... your MBA program, we strongly encourage you to apply. Interested Candidates Candidates should ...

Summer MBA Marketing Intern

Cambridge, MA · On-site

$16.50 - $21.75/hr

We are seeking an MBA Marketing Intern for a 3-month summer internship who thrives in a high-growth ... Conduct market research, competitive intelligence, and customer analysis * Synthesize secondary ...

Currently pursuing a MBA or master's degree in supply chain, engineering, operations management, or ... Ability to reconcile operational data with financial outcomes * Clear communicator who works well ...

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Mba Data Analytics Internship information

See salary details

$12

$22

$42

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

As of Jun 9, 2026, the average hourly pay for mba data analytics 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 an MBA Data Analytics Intern, and why are they important?

To thrive as an MBA Data Analytics Intern, you need strong analytical skills, business acumen, and a solid understanding of statistics, typically supported by ongoing MBA coursework. Familiarity with tools like Excel, SQL, Python or R, and data visualization platforms such as Tableau or Power BI is often expected. Effective communication, problem-solving abilities, and adaptability help interns translate data insights into actionable business recommendations. These skills are vital for driving data-informed decisions and adding value to real business challenges during the internship.

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

AspectMba Data Analytics InternshipData Analyst
CredentialsTypically pursuing or recent MBA with focus on analytics or related fieldBachelor's or master's degree in data science, statistics, or related field
Work EnvironmentInternship programs in corporate, consulting, or tech companiesFull-time role in similar industries, often in office or remote settings
Employer & Industry UsageUsed by companies to train future professionals; entry-level opportunityEstablished role for analyzing data, generating reports, and supporting decision-making

The Mba Data Analytics Internship is a temporary, training-focused position aimed at students or recent graduates pursuing an MBA, providing hands-on experience. In contrast, a Data Analyst is a full-time professional responsible for ongoing data analysis tasks. While both roles involve data skills, internships are more educational, whereas Data Analysts are permanent staff members with broader responsibilities.

What types of projects can I expect to work on during an MBA Data Analytics Internship?

During an MBA Data Analytics Internship, you can expect to work on projects that involve analyzing large datasets, developing actionable business insights, and supporting strategic decision-making. Typical responsibilities may include building data visualizations, creating predictive models, and collaborating with cross-functional teams such as marketing, finance, or operations. Interns often present their findings to management, which helps develop both technical and communication skills. These projects provide valuable, hands-on experience with real business problems and can lead to future full-time opportunities within the organization.

What is an MBA Data Analytics Internship?

An MBA Data Analytics Internship is a temporary position designed for MBA students or recent graduates to gain practical experience in data analytics within a business context. Interns typically work with large datasets, use analytical tools, and develop insights to support decision-making in various business functions such as marketing, operations, or finance. This internship helps students apply classroom knowledge to real-world problems, build technical and business skills, and enhance their resumes for future career opportunities.
Infographic showing various Mba Data Analytics Internship job openings in the United States as of May 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.
MBA Consultant, Pricing & Revenue

MBA Consultant, Pricing & Revenue

1-800-Flowers

Jericho, NY • Hybrid

$35 - $45/hr

Full-time

Posted 16 days ago


1-800-Flowers rating

7.2

Company rating: 7.2 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Job Title: MBA Consultant, Pricing & Revenue (BloomNet)

Location: Jericho, NY (On-site/4 days in office, 1 day remote)
Compensation: $35-$45 per hour

Position Overview

BloomNet, part of the 1-800-FLOWERS.COM, Inc. family of brands, is seeking a highly motivated MBA candidate or recent graduate to support a 10-week strategic project focused on pricing and fees for our local shop network. This role will partner with leadership and cross-functional teams to conduct research, analyze business data, and develop insights that inform strategic recommendations.

This position is ideal for a current MBA student looking to gain hands-on consulting or corporate strategy experience while contributing to a high-impact business initiative.

Key Responsibilities

  • Conduct research and analysis related to pricing and revenue strategy
  • Gather and synthesize quantitative and qualitative data to identify trends, insights, and opportunities
  • Develop strategic recommendations and operational improvement opportunities
  • Create presentations, reports, and executive summaries for leadership stakeholders
  • Collaborate with cross-functional teams to gather information and validate findings
  • Support project planning, milestone tracking, and deliverable execution
  • Present project findings and recommendations to leadership at the conclusion of the engagement