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