Data Visualization Developer

POSITION SUMMARY:

KANINI seeking an experienced Data Visualization Developer with deep expertise in Tableau and strong data analysis skills to design, build, and optimize interactive dashboards that drive business decision‑making. The ideal candidate combines BI development experience with Python scripting to support data preparation, automation, and advanced analytics.

KEY RESPONSIBILITIES:

• Tableau Development & Visualization
• Design, develop, and maintain interactive dashboards, reports, and visualizations using Tableau
• Translate business requirements into intuitive, actionable data stories
• Optimize Tableau workbooks, data sources, and queries for performance and scalability
• Implement row‑level security, governance standards, and best practices across Tableau environments
• Publish, manage, and maintain content on Tableau Server/Tableau Cloud
• Data Analysis & Engineering Collaboration
• Work with large, complex datasets to uncover trends, insights, and business opportunities
• Partner with BI and data engineering teams to ensure clean, reliable, and well‑structured data pipelines
• Validate data accuracy, integrity, and consistency across multiple sources
• Support ETL and data modeling discussions to improve reporting foundations
• Python & Advanced Analytics
• Use Python for data wrangling, automation, and advanced analytics workflows
• Build scripts to streamline data preparation and enhance visualization capabilities
• Stakeholder Engagement
• Collaborate with business stakeholders to gather requirements, iterate on designs, and deliver high‑impact dashboards
• Communicate insights clearly to technical and non‑technical audiences

QUALIFICATIONS:

• Required-
• 6–8 years of experience in Data Visualization or BI development
• Strong hands‑on expertise with Tableau Desktop and Tableau Server/Cloud
• Proficiency with Tableau features: calculated fields, LOD expressions, parameters, actions, and performance tuning
• Strong Python skills for data manipulation and automation
• Solid understanding of BI concepts, data modeling, and SQL
• Experience working with large datasets and multiple data sources
• Strong analytical, problem‑solving, and communication skills
• Preferred -
• Experience with additional BI tools (Power BI, Qlik)
• Exposure to cloud data platforms (GCP, AWS, Azure)
• Knowledge of ETL processes and data pipeline concepts