Technology Consulting-DP Data Visualization Assistant Manager

1. Data Analysis and Requirements Gathering:
   • Collaborate with business stakeholders to understand data needs and requirements.
   • Analyze and evaluate large datasets to identify trends, patterns, and insights.
2. Tableau Dashboard Development:
   • Design and develop Tableau dashboards and reports that effectively communicate complex data in a clear and visually appealing manner.
   • Utilize Tableau features such as calculated fields, sets, groups, and parameters to enhance visualization capabilities.
   • Implement best practices for data visualization and ensure that dashboards meet business objectives.
   • Able to work on LODs
   • Should know how to use parameters, logical and physical layer
3. Data Integration and Transformation:
   • Connect Tableau to various data sources and perform data integration and transformation as needed.
   • Develop and optimize SQL queries for efficient data retrieval and processing.
4. Performance Optimization:
   • Identify and address performance issues in Tableau dashboards to ensure optimal user experience.
   • Optimize queries and data extracts for faster load times.
5. Collaboration and Communication:
   • Work closely with cross-functional teams, including data engineers, analysts, and business users, to understand their data needs and provide solutions.
   • Communicate findings and insights effectively through Tableau dashboards and reports.

1. Data Analysis and Requirements Gathering:
   • Collaborate with business stakeholders to understand data needs and requirements.
   • Analyze and evaluate large datasets to identify trends, patterns, and insights.
2. Tableau Dashboard Development:
   • Design and develop Tableau dashboards and reports that effectively communicate complex data in a clear and visually appealing manner.
   • Utilize Tableau features such as calculated fields, sets, groups, and parameters to enhance visualization capabilities.
   • Implement best practices for data visualization and ensure that dashboards meet business objectives.
   • Able to work on LODs
   • Should know how to use parameters, logical and physical layer
3. Data Integration and Transformation:
   • Connect Tableau to various data sources and perform data integration and transformation as needed.
   • Develop and optimize SQL queries for efficient data retrieval and processing.
4. Performance Optimization:
   • Identify and address performance issues in Tableau dashboards to ensure optimal user experience.
   • Optimize queries and data extracts for faster load times.
5. Collaboration and Communication:
   • Work closely with cross-functional teams, including data engineers, analysts, and business users, to understand their data needs and provide solutions.
   • Communicate findings and insights effectively through Tableau dashboards and reports.

B.Tech