Work ScheduleStandard (Mon-Fri)Environmental ConditionsOfficeJob DescriptionWhen you’re part of the team at Thermo Fisher Scientific, you’ll do important work. You’ll have the opportunity to grow and learn in a culture that empowers your development. We have created an inclusive, global environment that values the power of diverse talent, backgrounds, and experiences to drive speed, efficiency, innovation, and growth.Our internship program will give you a chance to get real-world business experience and build your network before graduation. We are seeking an energetic, responsible intern to join our growing organization. In this position, you will be expected to learn the ins-and-outs of our daily routines and procedures. You will focus on learning how our organization runs, and can be expected to gain valuable insight that can further your interest in your chosen career field.Key Responsibilities:
Collect, clean, and analyze marketing data related to lead generation, lead management and supplier related marketing tactics from various sources (e.g., social media, website analytics, CRM, ERP, email campaigns).
Establish measurements and targets based on historic and forecasted data to develop marketing plans, roadmaps, and tactical elements.
Establish data requirements for segmentation and targeting across supplier tiers.
Support the development and optimization of lead generative marketing campaigns through data-driven insights
Collaborate with data science, marketing, and sales operations teams to ensure data accuracy and consistency.
Drive a lead mapping workstream, identifying gaps and building out solutions to ensure optimal capture and movement of leads through the marketing qualification funnel.
Present findings and recommendations to the marketing team and stakeholders.
Create and maintain technical documentation of data sources, methodologies, and processes.
Stay updated with industry trends and best practices in data analytics and digital marketing.
Benefits:
Hands-on experience in marketing data analysis and marketing operations.
Mentorship and guidance from experienced professionals in the field.
Opportunity to contribute to real-world marketing projects and campaigns.
Networking opportunities within the industry.
Potential for full-time employment upon successful completion of the internship.
How will you get here?
Undergraduate student (rising senior) completing a marketing, business data analysis, statistics, mathematics or related field.related degree between December 2025 and June 2026.
0 years of work experience required; previous related internships preferred.
Proven track record of results demonstrating integrity, innovation, involvement, and intensity.
Energized through championing change, driven in getting results, and savvy in navigating ambiguity.
Excellent interpersonal communication skills with a high degree of emotional intelligence.
Proficiency in data analysis tools and software (e.g., Excel, Generative AI, Python, R, etc.).
Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
Start Date: This internship is set to begin on either May 12th or June 16th, 2025 for a duration of 10-12 weeks – dependent upon student availability per academic calendars.Compensation & Relocation: Our undergraduate Information Technology internships offer an hourly rate between $21.50 - $28.75 dependent upon the location you are supporting (aligned to respective cost-of-living guidelines). Additionally, a relocation stipend is offered in the amount of $5,000 if necessary. Student must be located 50+ miles away from the physical location of the internship to be eligible for the relocation stipend.To qualify, applicants must be legally authorized to work in the United States and should not require sponsorship (current or future) for employment visa status. Thermo Fisher does not offer employment in this position to holders of F-1, J-1, H-1, OPT, and CPT Visas for the purpose of obtaining practical experience.Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
