Über
Cart.com is 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. 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. 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, and producing data-driven recommendations to support decision-making. The intern will: 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 The intern will gain exposure to real-world data environments within commerce and fulfillment operations, receive regular coaching and feedback from an assigned mentor, and develop experience communicating technical insights to business stakeholders. 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): 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): 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; and 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. For internship roles, throughout the duration of the set internship period only, candidates may be eligible to work under existing student-authorized employment programs (such as CPT or OPT) where applicable. Currently, Cart.com does not intend to hire candidates who will need, now or in the future, Cart.com sponsorship through any non-immigrant visa category such as the H-1B, H-1B1, E-3, O-1, or TN. All hiring is contingent on eligibility to work in the United States. We are unable to sponsor or transfer visas for applicants. Cart.com is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Sprachkenntnisse
- English
Hinweis für Nutzer
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