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Senior Tableau Developer and Data Visualization Specialist role at Citi, transforming complex datasets into actionable visual insights that drive strategic business decisions. Part of the growing data team at a leading global bank.
Job Responsibility:
Design, develop, and maintain high-quality, scalable, and intuitive Tableau dashboards and reports
Create compelling and effective data visualizations that communicate key performance indicators (KPIs) and trends
Optimize Tableau workbooks and data sources for performance, efficiency, and usability
Implement best practices for Tableau dashboard design, data governance, security, and version control
Collaborate with business stakeholders to gather requirements, prototype solutions, and iterate on designs
Provide expertise in Tableau Server administration including user management, permissions, and performance monitoring
Work with large and complex datasets in Big Data environments
Develop, optimize, and troubleshoot queries using Hive and Impala
Perform in-depth data analysis to identify trends, anomalies, and insights
Troubleshoot data discrepancies and ensure data accuracy across reports and dashboards
Requirements:
5+ years of hands-on experience in business intelligence and data visualization with strong focus on Tableau development
Demonstrable expertise in designing and developing complex, high-performance Tableau dashboards and reports
Proven experience working with Big Data environments and querying large datasets
Expert-level proficiency in SQL, specifically with Hive and Impala
Strong understanding of data warehousing concepts, dimensional modeling, and ETL principles
Experience with performance tuning of Tableau dashboards and underlying data queries
Exceptional analytical and problem-solving skills
Strong communication and interpersonal skills
Ability to work independently and manage multiple priorities in a fast-paced environment
Attention to detail and commitment to data accuracy and integrity
Bachelor's degree/University degree or equivalent experience
Nice to have:
Familiarity with ETL (Extract, Transform, Load) concepts and tools
Ability to understand and contribute to the design of data pipelines
Experience with scripting languages (e.g., Python, SQL) for data manipulation and automation
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