Tableau Architect

Tableau Architect

Responsibilities and Duties +

Design and develop enterprise level system to support the analytical needs using Tableau.

Must have strong skills and knowledge with the selection of appropriate data visualization strategies 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.).

Willingness and the ability to closely work with User community, DBAs, ETL developers, and the project team in general.

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

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).

Qualifications and Skills + Must have at least 8-12 years? experience in information technology and at least 5 years in business intelligence with a strong focus on data visualization within the past 3 years.+

Must have extensive experience with business requirements analysis, functional specification, and system implementation. Translate business requirements/needs to successful data presentation.

Proven experience mentoring and training resources.