Job Description

Qualifications:

• 5-8+ years of experience in enterprise BI development, preferably from a consulting background. Strong background in designing and implementing enterprise scale solutions.
• Solid Hands-on experience with Tableau Desktop, Tableau Server and Tableau Prep. Thorough knowledge of Tableau administration and architecture.
• Hands-on experience in relational database management application development.

Nice to have

• 5+ years of experience in finance, Risk and Regulatory Reporting. Strong knowledge of credit risk concepts
• Analytics using Big Data, Python or R. Strong, proven programming skills in R, Python. Ideally have some real-world experience with API platforms. Experience with Snowflake is highly preferred.

Responsibilities:

• Develop, maintain, and manage advanced reporting, analytics dashboards and other BI solutions. Design and develop solutions using Tableau dashboards (Web & Mobile) using Oracle/ Sybase / Big Data as backend technologies.
• 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.
• 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.
• Manage Tableau Server and Administration on Linux Server including Tableau server upgrade/installation. Manage Tableau content deployments end-to-end using automated solutions.
• Find the key areas of automation to make the business processes smooth.

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