The Digital Outcomes team drives the exploration, evaluation, and impact assessment of innovative technologies that align with healthcare outcomes. By providing a robust methodological and analytical framework, the team empowers stakeholders across the organization to embrace outcome-driven decision-making in digital technology solutions. This internship is an opportunity to contribute to impactful projects in a dynamic environment. As an Intern on this team, you will: + Analyze data to evaluate the effectiveness of digital interventions. + Conduct impact analyses that demonstrate how digital solutions drive improvements in outcomes and financial return on investment (ROI). + Leverage creative, out-of-the-box thinking to generate actionable insights. + Apply analytical and visualization skills, and basic statistical knowledge to uncover trends and correlations. Qualifications: + Applicants must be currently enrolled in a full-time accredited public or private College/University + Must be committed to completing the duration of the internship from June 2025 - August 2025 + Be in good academic standing + Work 37.5 hours per week and commit to a minimum of 375 hours for the duration of the internship + Ideally pursing a degree within Data analytics, Business Administration, Mathematics, Statics, Computer Science or a similarly related field + Highly skilled in Excel and SQL and Data visualization best practices, with the ability to extract, manipulate, and analyze data from various sources. + A hands-on approach to problem-solving and a proactive mindset for extracting meaningful insights. + Excellent analytical and communication skills to clearly present findings to stakeholders. + Creativity and an eagerness to innovate within the healthcare technology space. EEO STATEMENT Atlantic Health System, Inc. is an equal employment opportunity employer and federal contractor or subcontractor and therefore abides by applicable laws to protect applicants and employees from discrimination in hiring, promotion, discharge, pay, fringe benefits, job training, classification, referral, and other aspects of employment, on the basis of race, color, religion, sex (including pregnancy, gender identity and sexual orientation), national origin, citizenship status, disability, age, genetics, or veteran status.