METx Data Analytics Internship Program

MetLife, Inc.•Cary, NC

43d•$28 - $30•Hybrid

About The Position

At MetLife, we're a purpose-driven company - "Always with you, building a more confident future." When you join MetLife's Global Data & Analytics team, you'll collaborate with talented peers in cross-functional teams to solve business problems using data-driven approaches while expanding your skills in impactful ways. Ready to push boundaries and set new industry standards? Join us and help drive the future of technology forward. As a METx Data & Analytics Intern, you'll work alongside experienced data professionals, contribute to real projects, and share your outcomes and learning experiences with peers and leaders at the end of the program. Our program is designed for students who are curious, adaptable, and eager to learn new technologies in a collaborative, innovative environment. Our interns work on meaningful projects impacting millions of customers, receive mentorship from highly skilled data experts and industry leaders, and build robust technical skills. Intern assignments are varied and align to business needs. Some examples include: Automate data pipelines using Azure and Databricks to support business reporting. Develop machine learning models to predict customer behavior, Pricing, Threat Monitoring, among others based on historical data patterns. Brainstorm and develop potential GenAI and Agentic AI solutions to enhance our operations. Develop and test analytics solutions, including writing Databricks notebooks and validating data. Analyze, identify opportunities for improvement, and document business processes to support data-driven projects. Build dashboards and reports to visualize key business metrics. Provide production support and help resolve data-related incidents. Document key data assets, apply data governance standards, and support data management to improve transparency and compliance. Support strategic or operational initiatives collaborating with cross-functional teams.

Requirements

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.

Nice To Haves

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.

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.

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