Do
1. Develop valuable insights from multiple data source as per client requirements
a. Customer engagement and requirements gathering
i. Understand customer needs and objectives, technology trends and requirements to define how data will be seen as final output
ii. Develop wireframes, prototypes, use cases in order to demonstrate the final data output as is required by customer
iii. Analyse, propose and implement the data technology and tools used for data visualization
iv. Provide solutioning of RFPs received from clients and ensure the final data output is as per business needs
v. Validate the solution/ prototype from technology, cost structure and customer differentiation point of view
b. Design and Implementation of data visual aspects
i. Architect and build data visualization capabilities to produce classical BI dashboards and solutions
ii. Create the solutions by using a variety of data mining/data analysis methods, variety of data tools, data models and data semantics
iii. Contribute to the design and implementation of the data platform architecture related to data visualization needs
iv. Collaborate with other data architects to establish and run a data governance processes
v. Manage metadata, semantic layer data on data domains and other enterprise data assets
vi. Identify problem areas and perform root cause analysis of overall data flow and provide relevant solutions to the problem
c. Enable Pre-Sales Team
i. Support pre-sales team while presenting the entire data design and its principles to the client
ii. Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create visual data output as proposed
iii. Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor
