20470_カスタマーインテリジェント＆アナリスト

■Role Summary As MetLife Japan continues to strengthen customer centricity and AI-enabled decision making, this role will lead the transformation of customer, market, and business data into actionable insights that drive growth and customer experience improvement. This role will be responsible for developing and executing the Marketing Domain Data strategy by integrating customer, digital, research, and marketing data assets. The role will enhance data accessibility, governance, and advanced analytics capabilities, including predictive analytics, customer behavior forecasting, and business projection models, to generate actionable insights that improve growth, customer experience, and marketing effectiveness. The role will also drive AI-enabled analytics innovation to improve insight generation and strengthen data-driven decision making across the organization. The Director will lead the Customer Intelligence & Analytics team while working closely with Marketing, CX, Digital, Product, Distribution, and Technology teams to improve customer and business outcomes. ■Success Measures Objectives Build a scalable Marketing Domain Data foundation. Increase adoption of analytics-driven decision making. Advance predictive and AI-enabled analytics capabilities. Key Results Improved data accessibility, governance, quality, and usability. Increased stakeholder use of customer intelligence in strategic and operational decisions. Improved accuracy and business relevance of forecasting and projection models. Faster insight generation and reduced manual effort through AI and automation. Demonstrable contribution to growth, customer experience, and marketing effectiveness. ■Experience And Capability Requirements Strong expertise in customer, digital, research, and marketing data management and analytics. Experience developing data strategy, data governance, and scalable enterprise data assets. Proven ability to build advanced analytics, predictive analytics, forecasting, and business projection capabilities. Experience leading AI-enabled analytics transformation, automation, and new ways of working. Ability to translate complex data into clear, actionable business recommendations. Strong stakeholder influence, people leadership, and change management capabilities. Sound business judgment and the ability to operate effectively in a regulated environment. ■Technical Skills Advanced proficiency in Power BI, including data modeling, Power Query, DAX, dashboard design, and governance. Strong SQL skills for data extraction, transformation, validation, and analysis across multiple data sources. Advanced Excel skills for analytical modeling, data quality checks, and rapid business analysis. Working knowledge of Python or R for statistical analysis, predictive modeling, and process automation. Knowledge of statistics, segmentation, forecasting, experimentation, and model evaluation. Familiarity with cloud and modern data platforms such as Azure, Databricks, or equivalent technologies. Practical experience using generative AI and analytics automation tools, including Microsoft Copilot or equivalent solutions. ■Preferred Qualifications Bachelor's degree or higher in statistics, mathematics, computer science, economics, marketing science, business analytics, or a related field. Microsoft Certified: Power BI Data Analyst Associate (PL-300), Microsoft Certified: Fabric Analytics Engineer Associate (DP-600), or an equivalent analytics certification. Relevant cloud, data management, data science, or project management certification is an advantage. Experience in financial services, insurance, or another regulated industry is preferred. Business-level English and Japanese communication skills are preferred for collaboration with local and global stakeholders. Show more Show less