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Pays
Inde
Horaires de Travail
Temps plein
Arrangement de Travail
Hybride
Aide à la réinstallation possible
Non
Date d'envoi
08-Avr-2026
ID de l'emploi
16768

Description et exigences

 

Position Summary 

 

 

 MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science 

 

Role Value Proposition:   

 

Data Analyst plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate analytical, SQL, Big Data and Cloud expertise. This role mentors Data Analysts. It is an individual contributor role,  expected to solve wide ranging business problems 

 

 

Job Responsibilities 

 

• • Understand business requirements to author functional requirements documents to develop and deliver production grade data and analytics solutions. 

• Analyze data in the context of business processes, business and functional requirements 

• Provide relevant inputs  to data architecture, engineering, governance, modeling, quality and data science teams 

• Validate the data loaded by engineering team 

• Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, BI & insights) 

• Mentor Data Analysts  

• Independently lead design, solutioning & estimations 

 

 

 

 

 

 

 

Knowledge, Skills and Abilities 

Education 

Bachelor’s degree in computer science, information technology or equivalent educational qualification 

 

Technical Skills and Experience 

• 8-10+ years of relevant experience 
 

• SQL, data profiling, data validation, data storage and retrieval principles for Azure, Hadoop, document databases and RDMBS databases 

• Datawarehouses, data marts, data lakes 

   Medallion architecture 

 • Communication and structured problem-solving skills.,  

• Domain based design 

• Mentorship experience 

• Storytelling skills , Partner & Stakeholder engagement experience 
 

 

Good to Have (Preferred) 

 

• Data modeling tools such as Erwin 

Databricks, serverless SQL 

Data Governance, Data Quality 

Exposure to Gen AI technology and tools 

Banking Financial Services and Insurance domain knowledge 

 

About MetLife

Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.

Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible. Join us!