Data - Analytics & AI Internships - Summer 2027

## About This Opportunity Inmar’s Summer Internship Program offers a dynamic experience designed to give students real-world exposure to a professional environment while contributing meaningfully to company initiatives. Interns split their time between a high-impact cross-functional team project and department-specific responsibilities assigned by their direct manager. Our Data, Analytics & AI Internship opportunities give students hands-on experience using data, technology, and analytical thinking to solve real business problems. Depending on business needs, opportunities may be available across areas such as Data Analytics, Business Intelligence, Data Engineering, Data Science, Analytics Engineering, Machine Learning, AI, Data Platforms, and other data-focused functions. ## What You May Do - Analyze business, customer, operational, or product data to identify trends, patterns, gaps, and opportunities. - Help develop reports, dashboards, metrics, and visualizations that make complex information easier to understand and use. - Translate analytical findings into clear insights and recommendations for technical and nontechnical audiences. - Gather, organize, clean, validate, and prepare data from multiple sources for analysis, reporting, or product use. - Support the development, testing, and optimization of data pipelines and data processing workflows. - Help improve data quality, reliability, documentation, governance, and accessibility. - Contribute to the design and development of scalable data and analytical solutions using cloud-based technologies. - Explore, develop, or support predictive models, machine learning, and advanced analytical solutions. - Assist with organizing and structuring information to improve how teams access, manage, and use knowledge and data. - Collaborate with Data, Analytics, Engineering, Product, Business Intelligence, Operations, and other teams to solve business problems. - Apply AI and emerging technologies to research, analysis, coding, information organization, experimentation, or process improvement while maintaining appropriate review and validation. ## Your Qualifications - Currently pursuing a Bachelor’s or Master’s degree in Data Analytics, Business Analytics, Data Science, Computer Science, Data Engineering, Statistics, Mathematics, Information Systems, Economics, Engineering, Business, or another quantitative or related field. - Strong analytical, critical-thinking, and problem-solving skills with curiosity about what data can reveal. - Comfort working with data and using information to identify patterns, answer questions, or support recommendations. - Strong attention to detail and a willingness to validate, question, and clearly document findings. - Comfort using productivity and analytical tools such as Excel and/or Google Sheets. - Clear written and verbal communication skills, including the ability to explain findings to technical and nontechnical audiences. - Ability to collaborate effectively across teams and work independently when appropriate. - Curiosity about data, analytics, AI, and emerging technologies and how they can be applied to real business problems. - Eagerness to learn new tools and contribute in a fast-paced, collaborative environment.