Description and Requirements

Job Responsibilities :

• Drive advanced data analysis and data preparation activities to derive meaningful insights, ensuring high standards of data quality, security, and performance.
• Lead the development of scalable and user-centric BI dashboards and reports, promoting best practices in visualization and usability.
• Design and govern robust data models and calculation frameworks to support efficient and reliable analytics.
• Architect and manage end-to-end data integration solutions (ETL/ELT), including pipelines and transformation workflows across diverse data sources.
• Partner with business stakeholders to shape requirements, provide consultative input, and deliver value-driven BI solutions.
• Champion the use of Power Platform, AI, and intelligent automation to modernize analytics and improve operational efficiency.
• Drive process optimization and standardization initiatives to enhance productivity and reduce manual dependencies.
• Mentor and support junior team members, ensuring adherence to best practices and fostering capability development.
• Contribute to strategic data initiatives, including governance, scalability, and alignment with organizational data objectives.
• Design and enhance DQ dashboards and automated controls
• Support platform vendor alignment and capability enhancement strategy
• Ensure scalability, compliance, and enterprise adoption.
• Technical Skills:

• Strong hands-on experience in Power BI (Desktop & Service) with expertise in DAX, Power Query (M), and data modelling.

• Strong in SQL and relational databases with strong data modelling knowledge - Logical/Physical/Canonical

• Working knowledge of Azure tools such as Databricks/Azure SQL, /Cosmos DB.
  
  • Expertise in data preparation, cleansing, validation, and visualization best practices
  
  • Proficiency in Power Platform tools including Power Automate/Power Apps/Power Query/M Query
  
  • Working knowledge of Python/R Ops is a plus
  
  • Awareness of AI-driven tools and automation for analytics efficiency.
  
  • Basic knowledge of data science concepts such as statistical analysis and predictive modelling.

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.

As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We're looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.

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!