Tableau Expertise (intermediate / advanced): Proven strong proficiency in designing, developing, and deploying complex, interactive Tableau dashboards, and reports. Must be currently working with Tableau in a professional environment and have many years of relevant and hands-on experience with Tableau Server. Data Visualization: Demonstrably strong data visualization skills with a deep understanding of principles, UX/UI best practices for dashboards, and the ability to convey complex information clearly and effectively. SQL (intermediate / advanced): Highly proficient in SQL for querying large and complex relational databases, data manipulation, and performance tuning. Strong SQL skills are a must. Experience with various database systems, in particular Oracle and SQL Server. Data Modelling & Database Skills: Demonstrably strong data modelling skills/experience (e.g., star schema, snowflake schema) and solid understanding of database design and management. ETL Skills: Strong ETL skills using various industry technologies for data extraction, transformation, and loading. Data Analyst & Process Engineering: Demonstrated Data Analyst and process engineering skillset. Data Sources & Connectivity: Experience connecting Tableau to diverse data sources, including traditional databases, cloud data platforms, and APIs. Performance Tuning: Ability to identify and resolve performance issues in Tableau dashboards and underlying data queries. Scripting/Programming (Desirable): Experience with Python or R for data manipulation, statistical analysis, or integration with BI tools is a plus. Version Control: Familiarity with version control systems (e.g., Git) for managing ETL and data assets Effective collaborator: By being able to build relationship and partnerships with others to meet shared objectives as well as communicating effectively and in a way that conveys a clear understanding of the unique needs of different audiences. Project management: A strong understanding of various project management methodologies and tools, the ability to monitor tight deadlines and / or unexpected requirement changes, and proficiency in the use of basic Microsoft applications (Word, Excel, PowerPoint) High degree of initiative and personal accountability, self-starter and highly motivated. Strong documentation skills. Tableau Server Oracle (ORAAS) skills Data modelling (ER and Dimensional) Data manipulation and performance tuning GitHub JIRA Commercial Python experience RESTful API experience KNIME ETL experience Bachelor's/University degree in (Computer Science / Data Analytics). Then apply to discover the true extent of your capabilities. Job Family Group: Data Governance Job Family: Master and Reference Data Strategy Time Type: Full time Change Management, Constructive Debate, Data Analysis, Data Architecture, Data Governance, Data Model Maintenance, Data Quality, Emerging Tools and Technologies, Internal Controls, Program Management. For complementary skills, please see above and/or contact the recruiter. Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. This job opening is for an existing job vacancy.