Marketing Analytics Intern

Posted 11 Hours Ago
Hiring Remotely in United States
Remote or Hybrid
Internship
Software • Analytics • Hospitality
Founded on a spirit of innovation and collaboration, IDeaS works to provide precise, data-driven decisions users trust.
The Role
Supports cross-channel marketing attribution and influence modeling by documenting data sources, defining business rules, mapping and normalizing interaction data, testing reporting prototypes, and recommending implementation steps. The intern also assists with AWS marketing data organization, segmentation research, data hygiene, process documentation, and stakeholder communications. The role requires analytical thinking, thorough documentation, clear communication, and collaboration across marketing and technical teams.
Summary Generated by Built In
Passionate people. Loyal clients. Leading solutions.
With a rich culture of creative collaboration and professional growth, IDeaS' team members build successful careers with us.
IDeaS is proud to be a global powerhouse of innovation and excellence; challenge and reward. No matter where we're working, our teams come together to create leading revenue management solutions that accelerate our clients' growth through revenue optimization.
Now we just need you!
Position Summary
The Marketing Data & Operations Intern will help advance foundational projects that connect marketing strategy, customer engagement data, and scalable reporting. The intern will work with marketing and data stakeholders to translate business questions into documented requirements, organized data structures, prototypes, and recommendations. The role is designed for a curious, analytical student who is comfortable learning new tools and working through open-ended problems.
Primary Project: Cross-Channel Attribution and Influence Model
  • Inventory relevant marketing and sales interaction sources and document the data available from each source.
  • Help define and document interaction types, business rules, required fields, and success criteria for an attribution and influence model.
  • Assist with mapping and normalizing interaction data across platforms into a consistent structure.
  • Support development of a prototype or proof of concept for business-defined attribution reporting.
  • Test outputs, document findings and limitations, and recommend next steps for implementation and maintenance.

Potential Supporting Projects
  • AWS marketing data foundation: Support the organization and documentation of marketing data in AWS, including source mapping, transformation requirements, and downstream use cases such as making useful outputs available to Salesforce.
  • Persona- and journey-based segmentation: Research relevant concepts, identify potential persona variables and channel journeys, connect academic frameworks to the business, and recommend a practical segmentation approach.
  • Data hygiene and process documentation: Document repeatable data quality practices, segmentation rules, definitions, and team guidance as project needs evolve.

Key Responsibilities
  • Gather and document business and data requirements through stakeholder conversations.
  • Analyze source data structures and identify gaps, inconsistencies, or dependencies.
  • Create clear documentation, process maps, data dictionaries, or source-to-target mappings.
  • Use structured analysis to test assumptions and validate results.
  • Communicate progress, risks, findings, and recommendations in a concise business-friendly format.
  • Prepare a final presentation and reusable project documentation.

Qualifications
  • Currently pursuing a degree in Marketing Analytics, Business Analytics, Data Analytics, Information Systems, Computer Science, Data Science, Marketing, or a related field; third-year student preferred.
  • Strong analytical thinking, curiosity, attention to detail, and ability to learn unfamiliar systems.
  • Experience with spreadsheets; SQL, data modeling, cloud platforms, CRM, marketing automation, or visualization tools is helpful but not required.
  • Ability to communicate clearly, document work thoroughly, and collaborate across business and technical perspectives.

Learning Outcomes
By the end of the internship, the intern should be able to explain how cross-channel marketing interactions can be structured for analysis, translate a business question into data requirements, document and test a practical solution, and communicate recommendations to stakeholders. The intern may also gain applied experience with AWS, SQL, Salesforce, HubSpot, segmentation, customer journey concepts, and marketing measurement, depending on project scope and readiness.
We Support Who You Are....
As a global company, we strive to create an inclusive environment where diverse perspectives spark innovation and meet the challenges of an evolving world. Whether you're launching a new career or expanding your current one, IDeaS is a company where you can balance great work with all other aspects of your life.
At IDeaS, we also aspire to live our values each day by being Accountable, Curious, Passionate and Authentic. And we continue our quest to build a more inclusive environment that attracts, represents and provides a place for diverse ideas, unique perspectives, and authentic voices.
Additional Information:
To qualify, applicants must be legally authorized to work in the United States , and should not require, now or in the future, sponsorship for employment visa status.
SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights .
Equivalent combination of education, training, and relevant experience may be considered in place of the education requirement stated above.
Resumes may be considered in the order they are received.
IDeaS/SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, IDeaS/SAS may obtain nationality or citizenship information from applicants for employment.
IDeaS/SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.
#IDeaS
#LI-Hybrid
#BI-Hybrid

Skills Required

  • Currently pursuing a degree in Marketing Analytics, Business Analytics, Data Analytics, Information Systems, Computer Science, Data Science, Marketing, or a related field
  • Third-year student status preferred
  • Strong analytical thinking, curiosity, and attention to detail
  • Ability to learn unfamiliar systems
  • Experience with spreadsheets
  • Clear communication and thorough documentation skills
  • Ability to collaborate across business and technical perspectives
  • Legally authorized to work in the United States without current or future employment visa sponsorship

What the Team is Saying

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IDeaS Compensation & Benefits Highlights

  • Healthcare Strength — Healthcare is described as comprehensive, including medical, prescription, dental, and vision coverage alongside mental-health/EAP, disability, and life insurance. Listings attribute this breadth to the SAS-administered package available to IDeaS employees.
  • Parental & Family Support — Parental and family support includes paid parental and caregiver leave, adoption assistance, fertility benefits, childcare subsidies, and backup care. These elements are consistently highlighted as part of the overall benefits offering.
  • Retirement Support — Retirement support features a 401(k) with an employer match up to 6%. This is explicitly called out in SAS’s 2024 U.S. benefits materials tied to IDeaS.

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The Company
HQ: Bloomington, MN
747 Employees
Year Founded: 1989

What We Do

IDeaS is a company of innovators, collaborators, and educators. Founded in 1989, with the goal to revolutionize revenue management for businesses worldwide. The company's founders were pioneers in revenue science, and IDeaS has continued to lead the way in this field ever since, particularly in the hospitality and travel industries. We use advanced mathematics and industry expertise to turn data into accurate, automated, and actionable revenue-enhancing decisions. Decades of innovation and refinement have resulted in IDeaS' revenue science solutions, which have proven to be precise, data-driven, and reliable for clients. Our company has a history of continuous evolution and reinvention, driven by passionate and curious individuals. IDeaS uses the most advanced technologies, including deep machine learning, artificial intelligence, and SAS analytics, to push the limits and invent the future of revenue management. IDeaS' vision is to turn a world of data into a world of intelligent decisions. Our mission is to provide innovative analytics solutions that optimize total revenue performance for hospitality and select industries. Our company doesn't just offer recommendations. We provide accurate, automated, and actionable decisions. In the end, IDeaS is a company that uses revenue science to help businesses grow revenue faster, and our methods are tested, proven, and constantly evolving. Come join us on our journey!

Why Work With Us

IDeaS invests in employees' growth through training programs and innovative projects that feature cutting-edge technology to stay ahead of industry trends. Our high employee and client retention rates prove we’re a stable, successful team. Plus, our top-notch benefits ensures that employees are well taken care of both on and off the job.

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IDeaS Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified
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HQBloomington, MN
US
Medmenham, GB
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Pune, Maharashtra
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Singapore, SG
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