MetLife

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.