We are seeking a skilled Tableau Developer to design, develop, and maintain interactive business intelligence dashboards that transform complex data into meaningful insights. The ideal candidate will have strong expertise in Tableau, SQL, data visualization, and business analytics, with the ability to create scalable reporting solutions that support data-driven decision-making.
As a Tableau Developer, you will work closely with business stakeholders, data engineers, analysts, and cross-functional teams to gather reporting requirements, analyze datasets, and build visually compelling dashboards. You will also optimize dashboard performance, ensure data accuracy, and contribute to enterprise reporting and analytics initiatives.
This role provides an excellent opportunity to work with modern Business Intelligence (BI) technologies, data warehousing solutions, SQL databases, and enterprise analytics platforms while supporting strategic business operations.
Key Responsibilities
Dashboard Development & Reporting
- Design, develop, and maintain interactive Tableau dashboards, reports, and scorecards.
- Create visually compelling dashboards that support business intelligence and decision-making.
- Build reusable Tableau workbooks, templates, and visualization components.
- Develop executive dashboards with meaningful KPIs, trends, and performance metrics.
- Ensure dashboards are user-friendly, responsive, and aligned with business requirements.
Data Analysis & SQL Development
- Write optimized SQL queries to extract, transform, and analyze data from multiple sources.
- Perform complex data analysis using JOINs, GROUP BY, subqueries, window functions, and aggregate functions.
- Validate data accuracy, completeness, and consistency before reporting.
- Analyze business data to identify trends, patterns, and actionable insights.
- Optimize SQL queries to improve reporting efficiency and performance.
Data Integration & Modeling
- Collaborate with data engineers to integrate data from multiple databases and enterprise systems.
- Support ETL processes and data transformation workflows.
- Develop and maintain data models for reporting and analytics.
- Ensure proper data governance and reporting standards.
- Work with structured and semi-structured datasets across enterprise environments.
Performance Optimization
- Optimize Tableau dashboards for speed, scalability, and performance.
- Improve dashboard loading times through efficient query design and data modeling.
- Monitor dashboard usage and recommend enhancements.
- Troubleshoot reporting issues and resolve data discrepancies.
- Maintain high availability and reliability of reporting solutions.
Collaboration & Business Support
- Work closely with business users, analysts, and stakeholders to gather reporting requirements.
- Translate business needs into effective data visualization solutions.
- Participate in Agile planning sessions and reporting enhancement initiatives.
- Maintain technical documentation, dashboard specifications, and reporting standards.
- Support user training and knowledge-sharing activities.
Required Skills
Business Intelligence
- Tableau Desktop
- Tableau Server
- Tableau Cloud
- Tableau Prep (Preferred)
- Dashboard Development
- Data Visualization
- Business Intelligence Reporting
SQL
- Advanced SQL
- JOINs
- GROUP BY
- CASE Statements
- Window Functions
- Aggregate Functions
- CTEs
- Subqueries
- Stored Procedures (Preferred)
Databases
- SQL Server
- Oracle Database
- MySQL
- PostgreSQL
- Snowflake (Preferred)
Data Analytics
- Data Analysis
- KPI Reporting
- Business Reporting
- Data Validation
- Report Automation
- Performance Analysis
Data Modeling
- Relational Database Concepts
- Star Schema
- Snowflake Schema
- Data Warehousing
- ETL Fundamentals
Professional Skills
- Strong analytical and problem-solving abilities.
- Excellent communication and stakeholder management skills.
- Strong attention to detail and data accuracy.
- Ability to work independently and manage multiple reporting projects.
- Excellent documentation and presentation skills.
Preferred Skills
- Experience with Power BI or Looker.
- Knowledge of Python or R for data analysis.
- Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud.
- Experience with Snowflake, Amazon Redshift, or Google BigQuery.
- Exposure to ETL tools such as Informatica, Talend, or Azure Data Factory.
- Knowledge of data governance and data quality frameworks.
- Experience working in Agile development environments.
Education
Undergraduate
- Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, Statistics, or a related discipline.
- B.Tech / BE
- BCA
- B.Sc. (Computer Science, IT, Statistics, Mathematics)
Postgraduate (Preferred)
- MCA
- M.Tech
- M.Sc. (Data Science, Computer Science, Statistics, Information Technology)
Professional certifications in Tableau, SQL, Data Analytics, Business Intelligence, or Cloud Platforms are considered an added advantage.