Senior Data Analyst-I

As a Data Analyst at MetLife, you will play a critical role in the data and analytics life cycle, contributing significantly to the development of production-grade data and analytics solutions. Your expertise in analytical skills, SQL, Big Data, and Cloud technologies will be essential in mentoring Data Analysts and solving a wide range of business problems. **Key Responsibilities:** - Understand business requirements to author functional requirements documents for developing and delivering production-grade data and analytics solutions. - Analyze data in the context of business processes and functional requirements. - Provide inputs to data architecture, engineering, governance, modeling, quality, and data science teams. - Validate data loaded by the engineering team. - Collaborate with partners from Business, Technology, Operations, and D&A capabilities. - Mentor Data Analysts. - Lead design, solutioning, and estimations independently. **Qualifications Required:** - 8-10+ years of relevant experience. - Bachelor's degree in computer science, information technology, or equivalent educational qualification. **Technical Skills:** - Proficiency in SQL, data profiling, data validation, data storage, and retrieval principles. - Experience with Azure, Hadoop, document databases, and RDMBS databases. - Knowledge of data warehouses, data marts, and data lakes. - Strong communication and structured problem-solving skills. - Domain-based design expertise. - Mentorship and storytelling skills. - Experience in partner and stakeholder engagement. **Good to Have:** - Familiarity with data modeling tools such as Erwin. - Knowledge of Databricks and serverless SQL. - Understanding of Data Governance and Data Quality. - Exposure to Gen AI technology and tools. - Domain knowledge in Banking Financial Services and Insurance. At MetLife, we are recognized for being one of the "World's Most Admired Companies" and maintaining a spot in the Fortune Worlds 25 Best Workplaces list. With a global presence in over 40 markets, we lead in providing insurance, annuities, employee benefits, and asset management solutions. Our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - drive us to create a more confident future for our colleagues, customers, communities, and the world. Join us at MetLife and be part of transforming the next century in financial services. Its #AllTogetherPossible. As a Data Analyst at MetLife, you will play a critical role in the data and analytics life cycle, contributing significantly to the development of production-grade data and analytics solutions. Your expertise in analytical skills, SQL, Big Data, and Cloud technologies will be essential in mentoring Data Analysts and solving a wide range of business problems. **Key Responsibilities:** - Understand business requirements to author functional requirements documents for developing and delivering production-grade data and analytics solutions. - Analyze data in the context of business processes and functional requirements. - Provide inputs to data architecture, engineering, governance, modeling, quality, and data science teams. - Validate data loaded by the engineering team. - Collaborate with partners from Business, Technology, Operations, and D&A capabilities. - Mentor Data Analysts. - Lead design, solutioning, and estimations independently. **Qualifications Required:** - 8-10+ years of relevant experience. - Bachelor's degree in computer science, information technology, or equivalent educational qualification. **Technical Skills:** - Proficiency in SQL, data profiling, data validation, data storage, and retrieval principles. - Experience with Azure, Hadoop, document databases, and RDMBS databases. - Knowledge of data warehouses, data marts, and data lakes. - Strong communication and structured problem-solving skills. - Domain-based design expertise. - Mentorship and storytelling skills. - Experience in partner and stakeholder engagement. **Good to Have:** - Familiarity with data modeling tools such as Erwin. - Knowledge of Databricks and serverless SQL. - Understanding of Data Governance and Data Quality. - Exposure to Gen AI technology and tools. - Domain knowledge in Banking Financial Services and Insurance. At MetLife, we are recognized for being one of the "World's Most Admired Companies" and maintaining a spot in the Fortune Worlds 25 Best Workplaces list. With a global presence in over 40 markets, we lead in providing insurance, annuities, employee benefits, and asset management solutions. Our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - drive us to create a more confident future for our colleagues, customers, communities, and the world. Join us at MetLife and be part of transforming the next century in financial services. Its #AllTogetherPossible.