Xionex Hiring! Full Time Data Analyst in Federal Territory - Ricebowl

Company Description Xionex partners with banks, insurers, and enterprises to modernize operations using governed AI and specialized vertical AI agents. The company focuses on reducing costs, accelerating back-office processes, and improving quality across complex operational environments. By combining domain expertise with a high-performance global service-delivery model, Xionex helps organizations unlock new efficiency and automation opportunities. Team members collaborate with leading institutions on data-driven solutions that have direct business impact and measurable results.

Role Description The Data Analyst will work in a full-time, hybrid role based in Greater Kuala Lumpur, with flexibility for some work from home. The role involves collecting, cleaning, and analyzing structured and unstructured data to support operational improvements and AI-driven initiatives. Responsibilities include building reports and dashboards, identifying trends and patterns, and providing actionable insights to stakeholders across banking, insurance, and enterprise clients. The Data Analyst will collaborate closely with product, operations, and technical teams to translate business questions into analytical tasks, validate data quality, and support ongoing performance measurement. The role also includes preparing clear data summaries, documentation, and presentations to communicate findings to both technical and non-technical audiences.

Qualifications

• Candidates should possess strong Analytical Skills and experience in Data Analytics to interpret complex data sets and generate meaningful insights.
• Candidates should possess knowledge of Statistics and practical experience applying statistical methods to business and operational problems.
• Candidates should possess proficiency in Data Modeling to design, structure, and optimize data for reporting and analysis.
• Candidates should possess solid Communication skills to explain data findings clearly, collaborate with cross-functional teams, and present results to stakeholders.
• Candidates should ideally have experience with tools such as SQL, Python or R, and visualization platforms (e.g., Power BI, Tableau, or similar).
• Candidates should have a bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related discipline, or equivalent practical experience.
• Candidates should be comfortable working in a hybrid environment, managing priorities independently, and meeting deadlines in a fast-paced setting.
• Experience in financial services, AI-driven analytics, or process optimization is an advantage.