Undergraduate Intern - Finance, Data Analytics & Consumer Insight Summer 2027
Philip Morris International · Tampa · $29–$33/hr (stated in the posting)
Undergraduate Finance, Data Analytics & Consumer Insight Intern – Summer 2027
Be a part of a revolutionary change!
At PMI U.S., we're transforming an industry and building our future on one clear purpose: delivering a smoke-free future. We are seeking talented students who are eager to challenge the status quo, bring fresh ideas, and make a meaningful impact from day one.
Our Summer Internship Program offers hands-on experience, meaningful project work, professional development, and exposure to leaders across the business. Interns contribute to real initiatives while building skills that support future career success.
Program Dates: June 7, 2027 – August 13, 2027
About the Finance, Insight & Analytics Team
The Finance and Analytics teams help PMI U.S. make informed business decisions by combining financial expertise, business intelligence, consumer insights, and advanced analytics. Partnering across Commercial, Marketing, Sales, and Operations, the team identifies opportunities, evaluates performance, forecasts trends, and transforms data into actionable recommendations that drive growth and business performance.
Your Day-to-Day May Include:
- Analyzing financial, operational, and business performance data
- Supporting forecasting, budgeting, and business reporting
- Creating dashboards, visualizations, and reports
- Developing financial models and business cases
- Partnering with stakeholders to solve business challenges
- Identifying growth opportunities and operational efficiencies through data analysis
- Translating complex data into actionable business recommendations
- Supporting process improvement initiatives
- Preparing presentations and communicating insights to leadership
- Presenting a final project and recommendations to business leaders
Who We're Looking For:
- Currently enrolled in a bachelor's degree program
- Graduation date between December 2027 and June 2028
- Working knowledge of Python, SQL, or R
- Experience with databases and statistical analysis
- Strong analytical, problem-solving, and communication skills
- Attention to detail and ability to manage multiple priorities
- Demonstrated intellectual curiosity and a results-oriented mindset
- Ability to work independently and collaboratively
- Legally authorized to work in the U.S.
Preferred Qualifications
- Experience analyzing large datasets and generating insights
- Interest in machine learning, AI, and advanced analytics
- Ability to interact effectively with senior stakeholders
- Strong collaboration and stakeholder management skills
What We Offer
- Competitive pay: $29-$33/hour
- Professional development and networking opportunities
- Exposure to senior leaders and business partners
- Inclusive, collaborative culture
- Hybrid work environment through our Smart Work model
- Meaningful projects with real business impact
About PMI U.S.
Philip Morris International's U.S. businesses are working to advance a smoke-free future by providing better alternatives to legal-age adults who smoke. Headquartered in Stamford, Connecticut, PMI U.S. employs more than 3,000 people nationwide, with manufacturing facilities in Aurora, Colorado; Owensboro, Kentucky; and Wilson, North Carolina. Learn more at www.uspmi.com.Philip Morris International (PMI) is an Equal Opportunity Employer. PMI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law. PMI is committed to providing reasonable accommodations to qualified individuals with disabilitiesReferences to "PMI" mean the Philip Morris International family of companies. "PMI U.S.," "we," "our," and "us" refer to one or more PMI U.S. businesses.
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