Data Analyst

  • Colombo, Sri Lanka
  • Full-Time
  • On-Site
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Job Description:
  • 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

  • 2–4 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).
  • Bachelor's 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