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Job Title: Tableau Lead Consultant with Server/Tableau Cloud Environment
Designation: Lead Consultant
Location: Mphasis
Location : Charlotte, North Carolina, US
Experience : 12
Full time
Role Summary
The Tableau Lead Consultant is responsible for end-to-end ownership of the Tableau BI platform, providing technical leadership, advanced (L3) support, and delivery of analytics enhancements. The role covers Tableau Server/Cloud administration, dashboard development, performance optimization, security, governance, and stakeholder management, ensuring scalable, secure, and high-performance analytics solutions.
Responsibilities
- Own and manage Tableau Server / Tableau Cloud environments
- Act as the L3 escalation point for complex Tableau issues
- Drive platform stability, scalability, and continuous improvement
- Lead Tableau upgrades, patching, and version compatibility planning
- Design and develop interactive Tableau dashboards, reports, and KPIs
- Optimize workbooks, extracts, and live connections for performance
- Implement best practices for visual design, usability, and storytelling
- Troubleshoot performance issues, refresh failures, and data discrepancies
- Monitor extract refresh schedules, subscriptions, and s
- Perform root cause analysis (RCA) and implement preventive fixes
- Support business critical reporting cycles and peak usage windows
- Manage Tableau users, groups, projects, and permissions
- Define and enforce governance standards (naming, certification, promotion)
- Integrate Tableau with enterprise data sources (SQL Server, Oracle, Snowflake, Data Warehouses, APIs)
- Deliver minor enhancements and configuration changes
- Support legacy BI to Tableau migrations (e.g., Cognos/Qlik/BOBJ → Tableau)
- Work closely with business users, product owners, and data teams
- Participate in CAB, release planning, and design reviews
- Translate business requirements into scalable analytics solutions
Technical Skills
- Tableau Desktop, Tableau Server / Tableau Cloud
- Strong SQL and relational database knowledge
- Tableau performance tuning (extracts, calculations, dashboard design)
- Security, permissions, and project/workspace management
- BI and data warehousing fundamentals