Data Analyst

Sri Lanka·Colombomid

Data AnalystData

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Requirements Summary

experience with enterprise reporting (KPI dashboards, risk/compliance, management reporting). Bachelor's degree in Compute

Technical Tools

Data AnalystData

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.

~1 min read

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.

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