Xionex Hiring! Full Time Senior Manager Analytics in Federal Territory - Ricebowl

Company Description Xionex supports banks, insurers, and large enterprises in reducing costs and modernizing operations through governed AI and industry-specific AI agents. The company combines deep domain expertise with a high-performance global service-delivery model to streamline back-office processes and improve quality. By focusing on operational efficiency and scalability, Xionex helps clients unlock new opportunities for automation and data-driven decision-making. Team members work with cutting-edge technologies and complex business challenges in a fast-evolving financial and enterprise landscape.

Role Description The Senior Manager Analytics is a full-time role based in Greater Kuala Lumpur with a hybrid work arrangement, combining on-site collaboration with some work-from-home flexibility. This role leads analytics initiatives that support operational optimization, cost reduction, and quality improvement for financial and enterprise clients. Day-to-day responsibilities include overseeing data analytics projects, guiding the design of analytical frameworks, and translating business objectives into measurable KPIs and dashboards. The Senior Manager Analytics will coordinate cross-functional teams, mentor analysts, and ensure data integrity and consistency across reporting and visualization tools. In addition, the role involves presenting insights to senior stakeholders, recommending data-driven strategies, and partnering with technology teams to enhance AI-driven analytics solutions.

Qualifications

• Strong foundation in Analytics and Data Analytics, with the ability to design, lead, and evaluate complex analytical projects.
• Proficiency in Statistics and Analytical Skills to develop robust models, interpret results, and support evidence-based decision-making.
• Hands-on experience with Data Visualization tools and techniques to create clear, actionable dashboards and reports.
• Experience leading analytics teams or projects in banking, insurance, or enterprise operations, with demonstrated stakeholder management skills.
• Familiarity with AI-driven analytics, data platforms, and modern BI tools (e.g., Power BI, Tableau, or similar solutions).
• Excellent communication skills, including the ability to explain complex analytical concepts to non-technical audiences.
• Bachelor’s or Master’s degree in a quantitative field such as Data Science, Statistics, Mathematics, Engineering, Economics, or related discipline.
• Proven ability to work in a hybrid environment, manage multiple priorities, and drive continuous improvement in analytics practices.