MetLife · 2 months ago
METx Data & Analytics Intern
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.
Asset ManagementFinancial ServicesInsuranceLife InsuranceRisk Management
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
Company
MetLife
MetLife is a provider of insurance, employee benefits, and financial services .
Funding
Current Stage
Public CompanyTotal Funding
$500M2024-06-20Post Ipo Debt· $500M
2000-04-14IPO
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