Marketing Analytics and Data Science Intern

Role Overview

• Support the planning, coordination, and tracking of analytics and data science initiatives within the Marketing organization to ensure alignment with business priorities and timelines.
• Partner with marketing, product, IT, and other cross-functional teams to gather requirements, document business needs, and support stakeholder communication.
• Collaborate with data scientists and analysts to translate analytical findings into clear business summaries, presentations, and action plans.
• Assist in quantifying and tracking project outcomes using defined corporate success metrics; help monitor project delivery efficiency and document performance insights.
• Prepare executive-ready materials (PowerPoint and written summaries) that clearly communicate analytics-driven insights and recommendations to leadership.
• Support the development and documentation of best practices for workflow management, reporting automation, and project tracking.
• Serve as a coordination point between technical teams and business stakeholders to help ensure transparency and alignment.
• Track key project milestones, risks, and dependencies; escalate issues appropriately and assist with mitigation planning.
• Assist in managing multiple concurrent initiatives by maintaining organized project documentation, timelines, and status updates.
• Communicate clearly and concisely with both technical and non-technical audiences.
• Maintain strong working relationships across teams and contribute positively in a collaborative environment.
• Balance attention to tactical details while understanding broader marketing and organizational strategy.
• Demonstrate strong attention to detail in documentation, reporting, and analytics validation.
• Take initiative in identifying opportunities for process improvement, automation, and innovation within marketing analytics workflows.
• Support exploratory analyses and experimentation efforts that may drive incremental sales growth, cost efficiencies, or improved customer outcomes.

Requirements

• Currently pursuing a Bachelor’s or Master’s degree in Business Analytics, Economics, Finance, Data Science, Computer Science, Statistics, Marketing Analytics, or a related field.
• Strong academic foundation in data analysis, statistics, or quantitative methods.
• Familiarity with analytics and data tools such as SQL, Python, R, Excel, Power BI, Tableau, or similar platforms.
• Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.
• Basic understanding of how analytics supports business decision-making, particularly in marketing, customer acquisition, retention, segmentation, or financial services.
• Strong analytical and problem-solving skills with the ability to structure ambiguous problems.
• Proficiency in Microsoft PowerPoint and Excel; ability to create clear, visually compelling presentations.
• Familiarity with project management or collaboration tools such as Jira, Asana, Microsoft Project, or similar platforms is a plus.
• Interest in insurance, financial services, digital marketing analytics, or customer journey optimization is preferred.
• Excellent verbal and written communication skills, with the ability to translate technical concepts into business-friendly language.
• Demonstrated leadership through academic projects, internships, or extracurricular activities.
• Self-starter mindset with strong organizational skills and the ability to manage multiple priorities in a fast-paced environment.
• Understanding of data governance, ethical data use, and privacy considerations is a plus.

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform
• Python
• SQL
• Tableau

Benefits

• Health insurance
• Paid time off
• Professional development opportunities