Job Description

JD:

Job Summary:


We are seeking a highly skilled Senior Tableau Developer with 10+ years of experience in data visualization, backend development, data validation, and documentation in the banking domain. The ideal candidate will have strong Tableau Dashboard designing skills, SQL skills, a deep understanding of database systems, and excellent presentation skills to effectively communicate insights to stakeholders. Familiarity with SAS and Python would be preferred.

Key Responsibilities:
• Tableau Development: Design, develop, and optimize interactive Tableau dashboards and reports.
• Backend & Data Processing: Work with large datasets, ensuring efficient extraction, transformation, and loading (ETL) Tableau Prep processes.
• SQL & Database Management: Write complex SQL queries, optimize database performance, and ensure data accuracy.
• Data Validation & Quality Assurance: Conduct thorough data validation and testing to maintain high data integrity.
• Documentation & Reporting: Create detailed documentation for dashboards, data processes, and business logic.
• Presentation & Stakeholder Communication: Present findings and dashboards to business leaders, translating data insights into actionable recommendations.
• Collaboration: Work closely with data engineers, analysts, and business teams to understand requirements and deliver solutions.

Required Skills & Qualifications:
• 10+ years of experience in Tableau development and data visualization is a must.
• Strong SQL ,Tableau, Tableau Prep (writing complex queries, performance tuning, data modeling).
• Experience with backend development and handling large datasets.
• Expertise in data validation and ensuring high data quality.
• Strong documentation skills to maintain clear and structured reports.
• Excellent presentation and communication skills to interact with stakeholders.
• Experience with ETL processes and working with relational databases (e.g., SQL Server, Oracle, PostgreSQL).
• Knowledge of Tableau Server administration is a plus.
• Familiarity with Python, R, or other scripting languages for data automation is an advantage.


Preferred Qualifications:
• Background in business intelligence (BI) strategy and implementation.
• Strong analytical and problem-solving skills.

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