Job Description

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 -