MetLife is a purpose-driven company focused on building a more confident future. As a METx Data & Analytics Intern, you will collaborate with experienced data professionals on meaningful projects, develop technical skills, and gain exposure to data-driven approaches in a supportive environment.
Responsibilities
Learn and Grow: Participate in onboarding, training, and mentorship sessions focused on analytics, data science, and business intelligence fundamentals.
Contribute: Assist with data collection, cleaning, analysis, and visualization to support business initiatives.
Collaborate : Work with cross-functional teams to solve business problems using data-driven approaches.
Explore : Gain exposure to modern analytics tools (e.g., Python, R, SQL, Tableau, Power BI), cloud platforms, and AI/ML concepts.
Present : Share your project outcomes and learning experiences with peers and leaders at the end of the program.
Qualification
Required
Must have an expected graduation date no later than June 2028.
Actively enrolled in a Bachelor’s degree program in Data Science, Analytics, Computer Science, Mathematics, Statistics, Engineering, Information Systems, or a related field.
Minimum GPA of 3.0 is required.
Strong analytical mindset with ability to identify patterns and insights from data as demonstrated through academic coursework or personal projects.
Coursework or experience with at least one programming language or analytics tool (e.g., Python, SQL, Scala, C#, C++).
Ability to analyze, ingest, and organize raw data and perform data transformation for modeling.
Interest in learning new technologies, tools, and business processes.
Excellent communication (written and verbal), critical thinking, and ability to work collaboratively in a team environment.
Curiosity, adaptability, and a growth mindset.
Preferred
Exposure to data visualization tools (e.g., Tableau, Power BI) or cloud platforms.
Experience with collaborative tools (e.g., GitHub, Azure DevOps) or agile methodologies.
Relevant certifications (e.g., Microsoft Certified: Data Analyst Associate) are a plus.
Experience with data pipelines, systems, and process design.
Exposure to advanced analytics, machine learning, and feature engineering.
Benefits
MetLife is a provider of insurance, employee benefits, and financial services .
