About the Role We are seeking an experienced Temenos Data Analyst to support data analysis, validation, and reporting initiatives related to our Temenos core banking ecosystem. In this role, you will work closely with engineering, data, and business teams to analyze and validate data extracted from core banking systems, ensuring high levels of data accuracy and consistency. The ideal candidate will have strong experience working with Temenos data structures, advanced SQL skills, and the ability to translate business requirements into meaningful analytical outputs. Key Responsibilities Temenos Data Management Configure and manage Temenos Data Source (TDS) including provider setup, parameterization, and data imports/exports. Implement business rules using plugins and manage provider configurations. Ensure proper end-to-end data flow from Temenos core systems. Data Analysis & Validation Analyze, validate, and reconcile data extracted from Temenos systems. Ensure data accuracy, completeness, and consistency across analytical outputs. Investigate data discrepancies and perform root cause analysis. Data Querying & Reporting Design and execute complex data queries using Oracle Database, SQL, and PL/SQL. Support reporting and analytical requirements across business teams. Data Processing & Automation Support data preparation and transformation using Python (Pandas) where required. Automate data-related tasks using scripting tools. Collaboration Work closely with business and reporting teams to translate requirements into data mappings and analytical outputs. Participate in Agile delivery processes, including backlog refinement and testing activities. Support & Documentation Provide L2/L3 support for data-related issues within the Temenos ecosystem. Maintain documentation for data definitions, mappings, and usage guidelines. Required Qualifications Experience2–5 years of experience in data analysis or banking data environments Proven experience working with Temenos core banking data Technical Skills Temenos Data Source (TDS) Oracle Database SQLPL/SQLData validation and reconciliation Data Engineering & Analytics Python (Pandas) for data processing Data mapping and transformation Understanding of banking data flows and core banking integrations Professional Skills Strong analytical and problem-solving abilities Strong documentation and communication skills Experience working in Agile development environments Preferred Qualifications Experience working with Temenos core banking platforms Experience supporting banking reporting and analytics initiatives Familiarity with data warehousing or analytics platforms Experience working in digital banking or fintech environments