Data Analyst

MetLife is a global leader in insurance, annuities, and employee benefits, operating in more than 50 countries with a strong presence in India. In the Indian market, MetLife has built a reputation for innovative financial solutions, customer centricity, and a culture that encourages continuous learning. The company invests heavily in digital transformation, leveraging data analytics to drive product development, risk management, and operational efficiency. As a fresher-friendly organization, MetLife offers structured onboarding, mentorship programs, and clear career pathways for young talent. The Data Analyst role at MetLife’s Noida office is designed for fresh graduates who are eager to apply analytical thinking to real‑world business problems. Working under the guidance of senior data professionals, you will be responsible for building and maintaining data pipelines, automating repetitive tasks, and delivering actionable insights to cross‑functional teams. This position provides exposure to a wide array of business domains, including underwriting, claims, marketing, and finance, making it an ideal launchpad for a data‑driven career. **Key Responsibilities** 1. Design, develop, and deploy Alteryx workflows to automate data extraction, transformation, and loading (ETL) processes. 2. Perform data validation, cleansing, and enrichment to ensure high‑quality datasets for analysis. 3. Identify performance bottlenecks in workflows and conduct root‑cause analysis to optimize execution time. 4. Collaborate with Business, Technology, Operations, and Data & Analytics (D&A) teams to understand data requirements and deliver solutions. 5. Support data governance initiatives by documenting data lineage, metadata, and quality metrics. 6. Create and maintain dashboards and reports using BI tools to visualize key performance indicators. 7. Assist in building data models and schemas that align with enterprise architecture standards. 8. Participate in ad‑hoc analytical projects, providing insights that influence strategic decisions. 9. Stay updated with emerging data technologies and suggest improvements to existing processes. 10. Contribute to knowledge‑sharing sessions and documentation for team best practices. **Tech Stack**: Alteryx, SQL, Python (pandas, numpy), Excel, Tableau/Power BI, Git, Linux basics. **Growth Path**: Successful analysts can progress to Senior Data Analyst, Data Engineer, or Business Intelligence Specialist roles within 2‑3 years, with opportunities to lead cross‑functional analytics projects or move into data science tracks. **Why Join MetLife?** MetLife offers a vibrant work environment that blends global best practices with local relevance. Freshers receive mentorship from seasoned professionals, access to continuous learning platforms, and a clear roadmap for career advancement. The company’s commitment to diversity, work‑life balance, and employee well‑being makes it an attractive destination for ambitious graduates looking to make a tangible impact through data.