+91 9821524102

Job details

Sr. DW Architect with Hands-on Tableau(6 - 8 yrs)


BI Reporting tools SQL Server Oracle Salesforce Azure Hadoop

Min 9+ years IT experience.

Extensively worked on BI Reporting tool: Tableau for development of reports to fulfilling the end user requirements.

Experienced in interacting with business users to analyze the business process and requirements and transforming requirements into visualizations and reports.

Must have strong skills and knowledge with the selection of appropriate data visualization strategies (e.g., chart types) for specific use cases. Ability to showcase complete dashboard implementations that demonstrate visual best-practices (e.g., color themes, visualization layout, interactivity, drill-down capabilities, filtering, etc.).

Experience with the preparation of data for visualization (e.g., data profiling, data cleansing, volume assessment and partitioning, modeling data, etc.).

Knowledge of dashboard visualization development best practices.

Experience in gathering, and translating end user requirements into effective efficient dashboards.

Experience in working in a fast-paced, dynamic and Agile development lifecycle.

Experience creating joins and joins with custom SQL blending data from different data sources using Tableau Desktop.

Proven knowledge of working with various Tableau Desktop functionalities capabilities (Filters, Hierarchies, Sorting, Sets, Parameters, Custom Groups, Creating Story, Mapping, Custom Geocoding, etc..

Experience using advanced calculations using Tableau Desktop (Aggregate, Date, Logical, String, Table, LOD Expressions.

Experience creating different visualizations using Lines, Pies, Pareto, Histograms, Box Plots, Maps, Scatter, Gantts, Bubbles, Histograms, Bullets, Heat Maps, Waterfall, Treemaps, etc.

Experience working with Data Visualization tools esp. Tableau (mandatory).

Experience working with relational data sources (like Oracle / SQL Server) and flat files. Good experience with cloud-based data sources (e.g., Salesforce, Google, Azure). Some experience and ability to learn how to work with unstructured data sources (e.g., Hadoop).

Experience in optimizing user queries and dashboard performance.

Proven experience in estimating work and break down implementations into tangible modules.

Good to have some experience in embedded analytics (i.e., embedding visual data analytics in other transactional and operational systems).