Tableau - Consultant

Job Summary Mandatory Skills

• Tableau
• Data Querying Transformation (SQL)
• Data Visualization Libraries (D3.js)
• Data Warehousing (DWH)
• Web Intelligence

Key Responsibilities

• Design scalable BI and reporting solutions using one of the tool Power BI, Tableau, Qlik Sense, QlikView, MicroStrategy, Sisense, Sigma BI, or Dundas.
• Define reporting architecture, dashboard frameworks, and visualization standards aligned with business objectives.
• Lead development of enterprise dashboards, scorecards, and analytical reporting solutions.
• Design and optimize SQL-based reporting and data transformation processes to improve performance and scalability.
• Drive Data Warehousing (DWH) reporting initiatives by defining reporting data structures and consumption strategies.
• Design and optimize enterprise reporting solutions using SSRS, SAP BusinessObjects, Web Intelligence, Information Design Tool, Cognos, or Crystal Reports.
• Define visualization best practices and user experience standards for dashboard and analytics development.
• Develop advanced and customized visualizations using D3.js to address complex analytical requirements.
• Establish data validation, reconciliation, and quality assurance processes to improve reporting accuracy.
• Review reports, dashboards, and analytical solutions to ensure adherence to engineering and visualization standards.
• Troubleshoot complex reporting, performance, and data quality issues through detailed root cause analysis.
• Mentor team members on BI platforms, dashboard development, SQL optimization, and visualization best practices.
• Collaborate with various teams and stakeholders to support end-to-end analytics solution delivery.

Behavioral Competencies

• Demonstrates strong ownership while driving BI and analytics excellence.
• Collaborate effectively with various teams and business stakeholders to ensure smooth delivery.
• Promotes quality-focused development through proactive validation and reporting governance practices.
• Apply strong analytical thinking to evaluate complex reporting and data visualization challenges.
• Demonstrates adaptability while managing evolving business requirements and analytics ecosystems.
• Communicates effectively regarding delivery status, risks, dependencies, and improvement opportunities.
• Maintains high attention to detail across dashboard design, reporting development, testing, and implementation activities.
• Encourages continuous improvement in analytics, visualization, and reporting practices.
• Supports knowledge sharing and mentoring to strengthen team capabilities.
• Balances reporting quality, usability, performance, and business priorities while driving delivery excellence.

Mandatory Competencies

• Database - PostgreSQL - PostgreSQL
• Database - Oracle - Database Design
• Data AI - BI Reporting and Data Visualization - Snowflake
• Data AI - BI Reporting and Data Visualization - Composite
• Data AI - BI Reporting and Data Visualization - Web Intelligence
• Data AI - BI Reporting and Data Visualization - Tableau
• Data AI - BI Reporting and Data Visualization - IBM DataStage
• Data AI - BI Reporting and Data Visualization - Data Warehousing (DWH)
• Data AI - BI Reporting and Data Visualization - ETL Concepts
• Data AI - BI Reporting and Data Visualization - D3.JS
• Data AI - BI Reporting and Data Visualization - Data Querying Transformation (SQL)
• Beh - Communication and collaboration