Data Analyst

• Design and build Tableau dashboards and reports using approved data sources (data warehouses semantic layers SQL).
• Turn business needs into dashboard designs layouts filters calculated fields parameters drill-downs.
• Build views like KPIs scorecards trend charts rankings heat maps and exception reports.
• Work with data teams to understand source data refresh schedules ETL outputs and data quality.
• Build workbooks following agreed technical standards and best practices.
• Optimize dashboard performance (extracts vs. live connections calculations filters structure).
• Validate dashboard accuracy against source data and business rules.
• Support access controls row-level security publishing and secure distribution.
• Assist with testing (unit integration UAT) defect fixes and deployment.
• Write documentation user guides and knowledge-transfer materials.

Requirements

• 24 years experience in Tableau development BI reporting or data visualization/analytics.
• Hands-on experience connecting Tableau to SQL databases data warehouses or structured data sources.
• Familiarity with data warehouse environments (dimensional models refresh cycles BI-ready data).
• Experience turning business requirements into dashboard designs.
• Bonus: experience with enterprise reporting (KPI dashboards risk/compliance management reporting).
• Bachelors degree in Computer Science IT Engineering Data Analytics Business Analytics or related field.
• Nice to have: Tableau Desktop Specialist Tableau Certified Data Analyst or similar BI certification.
• Preferred: exposure to MS SQL Server relational databases or ETL/ELT tools.

Skills Required

• Tableau Desktop (calculated fields LOD expressions parameters filters actions sets groups)
• Tableau Server/Cloud (workbooks projects data sources permissions publishing)
• SQL (joins views stored procedures aggregations validation queries)
• Data warehouse/BI concepts (dimensional modeling semantic layers ETL/ELT data quality)
• Dashboard design principles (clear layouts chart selection usability)
• Testing & validation (debugging data checks deployment support)
• BI governance awareness (documentation access control security version control)
• Communication analytical thinking attention to detail