KNOWLEDGE AND EXPERIENCE

• BS or MS degree in computer science, data science, finance, or mathematics with a minimum of 8 years of experience using Tableau tools with minimum 5 years on hands-on exposure in developing end-to-end solutions with Tableau for complex enterprise architecture.
• Solid Hands-on experience with Tableau Desktop, Tableau Server and Tableau Prep. Thorough knowledge of Tableau administration and architecture. Knowledge and hands-on experience with TabPy and Tableau Data Management, Lineage, Tableau API tools.
• Analytics using Big Data, Python or R. Strong, proven programming skills in R, Python, Java, MATLAB, C++ or Scala. Ideally have some real-world experience with API platforms.
• Experience in writing complex SQL, Stored Procedures and SQL Query tuning. Clear understanding of query plan management. Experience with Starburst is highly preferred.
• Hands-on experience in relational database management application development. Strong experience in data mart / data warehouse design. Experience in timeseries or no SQL database is highly preferred.
• Experience with relational databases Oracle, SQL server, Sybase, MongoDB. Experience in managing unstructured data.
• A solid understanding of data modeling, normalization, and visualization. Experience with data integration and ETL processes is highly preferred.
• Technical leader: Strong architectural and engineering excellence skills with years of development experience. Applicable experience as a coder in large systems and experience working at scale with On Prem and SaaS products.
• Strong experience in financial sector, preferably banking industry. Tableau certifications highly preferred.
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MOST RELEVANT SKILLS

Please see the requirements listed above.
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OTHER RELEVANT SKILLS

For complementary skills, please see above and/or contact the recruiter.
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• This is an individual contributor role. As a Tableau Architect, you will be responsible for Architecting, designing, developing, and maintaining business intelligence solutions using Tableau. Contribute to the development of Tableau strategy and product roadmap. Identify opportunities for leveraging Tableau to drive business growth and efficiency.
• Integrate data from various sources into Tableau, ensuring optimally performing data models. Conduct data cleansing, blending, and aggregation to prepare datasets for visualization. Monitor and enhance the performance of Tableau dashboards and data sources, ensuring rapid load times and intuitive user experiences.
• Optimize data extracts and ensure efficient data retrieval and performance on Tableau dashboards. Maintain, test and schedule refresh of Tableau extracts. Devise process for trigger-based automation of Tableau extract refresh for large volumes (TB) of data. Create scripts for automating Tableau extract refresh.
• Assist with prioritization of bugs, feature work, and architectural enhancements. Design Tableau APIs as required. Provide technical expertise in areas of architecture, design, and implementation. Troubleshoot and remediate issues related to data integrity, visualization accuracy, and dashboard performance.
• Establish automated processes for large scale data analysis and create metrics to support business strategies and Citi’s regulatory commitments. Interpret complex data sets and transform them into visual stories that inform decision-making.
• Identify data patterns and trends to champion adoption and usage of risk analytics capabilities, by providing insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
• Fine tune SQL Queries for maximum efficiency and performance. Conduct unit tests and develop database queries to analyze the defects and troubleshoot any issues.
• Manage the lifecycle of Tableau analytics dashboards, Tableau Prep Flows including business requirements gathering, functional specification write-ups, prototyping, development, quality testing, user acceptance testing, roll-out and post-launch enhancements implementation.