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Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.
Job Responsibility:
Facilitating day to day activities to support the strategic evolution and/or adoption of Master and Reference Data in coordination with the Data Governance team
Support the creation, maintenance and adoption of a unified and consistently defined fit-for-purpose enterprise-wide Master and Reference Data domains
Transforming complex banking data into clear, actionable insights through compelling Tableau dashboards for senior stakeholders
Design, development, and maintain high-impact data visualizations, ensuring data accuracy, consistency, and timely delivery
Build compelling narratives from complex data
Adopt and implement best practices in data visualisation and reporting
Requirements:
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
Education: Bachelor's/University degree in (Computer Science / Data Analytics). Master's degree preferred
Nice to have:
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
What we offer:
Competitive base salary (annually reviewed)
Benefits that support you (and your family) to be well, live well and save well
Hybrid working model (up to 2 days working at home per week)