Who We Are:

We’re Cart.com, one of the fastest growing commerce enablement companies in the world. We provide the digital and physical infrastructure that empowers thousands of leading B2C, B2B and public sector organizations to unify commerce operations from product discovery to product delivery.

We’re building toward a world where commerce has no bounds. Our enterprise-grade software, services and logistics infrastructure, including our own network of omnichannel fulfillment and distribution centers, enable merchants to navigate an increasingly complex operating landscape and drive efficient growth.

Our goal is to be the global backbone of commerce. To achieve it, we’re looking for entrepreneurial, innovative and determined teammates who are eager to help our growing base of customers simplify their commerce operations and seamlessly reach their own customers, wherever they are. Sound like you? We’d love to hear from you.

Cart.com Fast Facts:

• 6,000+ customers worldwide

• 1,600+ employees globally

• 17 warehouses nationwide, totaling over 10 million square feet of space

• Headquartered in Houston, TX with international offices in Mexico and Poland

Our values:

Cart.com is building a company that is committed to living out these 6 core values:

• Be brand obsessed: Our lives are shaped by the brands we interact with daily. We obsess over the brands we serve, and about the things they care about.

• Think beyond the box: “We’ve always done it that way” is not a phrase uttered often at our office. We create creative solutions to complex problems.

• Don’t give up: We learn from our challenges and see them for what they are; great building blocks to an amazing brand story.

• Speak up: We communicate clearly and directly because we care deeply. Communication is the bedrock of our community.

• Work together: We’ve built a team that prides itself on diversity of thought and background. Collaboration is better with contrast.

• Remember to be human: We work hard, but we leave room for the people, places and things that we love.

Onsite:
This position is open to applicants or individuals who are located in or around Houston,Tx and able to work onsite at our Houston Headquarter office.

The Role:

The Data & Analytics Intern will support analytics initiatives by owning a defined, project-based body of work focused on transforming operational and commercial data into actionable business insights.

This internship is designed for a graduate student pursuing a Master’s degree in Data Analytics, Data Science, or a related quantitative field and provides hands-on experience applying analytical methods to real-world commerce and fulfillment challenges.

Internship Objective & Focus:

During the internship, the intern will partner with business and analytics leaders to complete a scoped analytics project that delivers a tangible outcome for the organization.

Example project areas may include:

• Developing dashboards that improve visibility into operational or commercial performance

• Analyzing large datasets to identify trends, cost drivers, or efficiency opportunities

• Automating or improving manual reporting processes

• Producing data-driven recommendations to support decision-making

What You’ll Do:

• Own and execute a defined analytics project from discovery through final delivery

• Collect, clean, and analyze structured datasets using SQL and analytical tools

• Build visualizations or dashboards that communicate insights clearly

• Translate analytical findings into business recommendations

• Present outcomes and insights to stakeholders at the conclusion of the internship

• Collaborate with cross-functional partners while receiving mentorship from senior team members.

Learning Exposure:

The intern will:

• Gain exposure to real-world data environments within commerce and fulfillment operations

• Receive regular coaching and feedback from an assigned mentor

• Develop experience communicating technical insights to business stakeholders

What will help you Succeed in This Internship:

Knowledge (Academic Foundation): Understanding gained through coursework or academic projects related to data and analytics.

• Foundational knowledge of data analytics, statistics, or quantitative analysis concepts

• Understanding of data structures, datasets, and basic analytical methodologies

• Exposure to business intelligence or data visualization principles

• Coursework in data analytics, data science, statistics, computer science, economics, or a related field

• Familiarity with concepts such as data cleaning, trend analysis, or performance measurement

Skills (Applied Tools & Techniques): Practical tools or technical capabilities the intern can apply with guidance.

• Working knowledge of SQL for querying and analyzing data

• Experience using Excel or similar tools for data organization and analysis

• Exposure to data visualization platforms (Tableau, Power BI, Looker, or similar)

• Basic experience with Python or R preferred but not required

• Ability to interpret datasets and summarize findings clearly

Abilities (Approach & Growth Potential): Behavioral strengths that support success in a learning-focused environment.

• Analytical curiosity and strong problem-solving mindset

• Ability to learn new tools and concepts quickly

• Comfort working with ambiguity while following structured guidance

• Ability to communicate insights to both technical and non-technical audiences

• Strong attention to detail and organization

• Ability to manage assigned tasks and timelines within a defined project scope

Internship Structure:

• Duration: 12 weeks

• Schedule: Part Time Hours (20 hours or less per week) - March-May CPT (semester)

End- of- Internship Deliverable:

As part of the internship experience, the Data & Analytics Intern will complete a defined analytics project that applies academic learning to a real business challenge under the guidance of experienced team members.

The final deliverable may include:

• Development of a dashboard, analytical model, or reporting solution

• Documentation of analytical findings and data-driven recommendations

• Identification of process improvements or automation opportunities

• A final presentation summarizing methodology, insights, and key learnings

The objective is to provide hands-on applied learning while producing work that can be leveraged by the business beyond the internship period.