Posted:1 day ago|
Platform:
Hybrid
Full Time
. Core Tableau Proficiency
• Understanding of Tableau Desktop & Tableau Cloud (or Tableau Server) • Connecting to different data sources (e.g., Snowflake, Excel, SQL DBs) • Live vs Extract connections, performance implications • Publishing and managing dashboards on Tableau Cloud/Server 2. Visual Analytics & Design • Proficiency in building various chart types: bar, line, scatter, dual-axis, combo charts • Custom visualizations: bullet graphs, heatmaps, treemaps • Dashboard layout best practices (containers, spacing, responsiveness) • UX principles: usability, interactivity, intuitive filters 3. Interactivity & Parameters • Filters: context filters, relative date filters, cascading filters • Parameters: use cases (e.g., what-if analysis, toggles, multi-metric KPIs), dynamic parameters • Actions: filter actions, highlight actions, URL actions 4. Calculated Fields & Functions • Logical (IF/CASE), Aggregates (SUM/AVG), Date (DATEDIFF, DATETRUNC), String, Type conversions • Level of Detail (LOD) expressions: FIXED, INCLUDE, EXCLUDE • Table calculations: RANK, INDEX, WINDOW_SUM, etc. 5. Performance Optimization • Workbook performance: identifying bottlenecks, using performance recording • Best practices: minimizing quick filters, reducing dashboard complexity • Extract optimization, Hyper file usage 6. Data Modeling in Tableau • Joins and Unions in Tableau • Relationships model vs physical joins (in data source tab) • Blending and dealing with non-performant sources 7. Security & Governance • Row-level security (RLS) using user filters or data source filters • Permissions in Tableau Cloud/Server • Managing data sources centrally, data certification 8. Collaboration & Documentation • Workbook versioning • Proper naming conventions, comments, annotations • Dashboard/tooltips documentation for users 9. Integration/Advanced (optional but preferred depending on seniority) • Embedding Tableau in other platforms (like Salesforce) • Use of Tableau Extensions or Tableau JavaScript API • Writing efficient SQL when needed before visualization
Coretek Labs India
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