Senior Tableau Developer

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