QlikSense Developer - Wholesale Banking job opportunity at Unison Group.

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Date2026-02-27T04:05:23.789Z bot
Unison Group QlikSense Developer - Wholesale Banking
Experience: 10-years
Pattern: Contract
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loacation Singapore, Singapore
loacation Singapore....Singapore

Role Overview: We are seeking an experienced QlikSense Developer with strong exposure to Wholesale Banking domain . The ideal candidate will be responsible for end-to-end BI solutioning including architecture, data modeling, dashboard design, and report development across Trade Finance, Business Banking, Wealth Management, and Transaction Banking portfolios. Key Responsibilities: Design and architect scalable QlikSense BI solutions aligned with Wholesale Banking business requirements. Develop, enhance, and maintain interactive dashboards and reports using QlikSense. Build robust data models, ETL scripts, and data transformations within Qlik environment. Work closely with stakeholders from Trade Finance, Transaction Banking, Wealth, and Business Banking teams to translate requirements into technical solutions. Optimize performance of Qlik applications for large-scale banking datasets. Implement data governance, security rules, and access controls in QlikSense. Perform data validation, reconciliation, and ensure high data accuracy standards. Support UAT, production deployment, and ongoing enhancements. Collaborate with data engineers and architects for integration with enterprise data warehouse and cloud platforms. Mandatory Skills & Experience: 5-10 years of experience in QlikSense development and data analytics space. Strong Wholesale Banking domain experience (Trade Finance, Business Banking, Wealth, Transaction Banking). Expertise in Qlik scripting, data modeling (star/snowflake schema), and performance tuning. Strong SQL knowledge and experience working with large datasets. Experience in data warehouse concepts and banking KPIs. Understanding of regulatory and MIS reporting in banking environment. Experience integrating Qlik with cloud / enterprise data platforms is preferred.

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