Details:

Job Description

Key Competencies or Skills Required to Undertake the Role
The ability to work with large and complex data sets with a clear understanding of the full data ecosystem from source to the presentation layer:
• Strong analytical skills
• Expertise in Python
• Expertise in database skills – SQL, SSIS 
• Strong data analysis skills with the ability to use MS Excel, Access and other desktop products to prototype and present results
• Experience developing or assisting the creation of a data warehouse or data mart, including data modelling and architecture
• Understanding of Dashboards that are common across most industries, and the range of visualization methods used (e.g. bar chart, stream graph, heat map, tree map etc.)

Additional Competencies or Skills that would help Undertake the Role
• Proficiency in database skills -Oracle, Teradata, 
• Experience with statistical analysis and visualization software such as SAS, JMP, R, Tibco Spotfire, Qlikview, Tableau, etc.
• Experience with the open-source tools HTML, JS/JQuery and "D3.js"
• Hands-on experience with Data Query Business Intelligence Software (Business Objects, Cognos)
• Familiarity with enterprise data systems and databases with experience in analyzing large, complex volume data sets (Big Data)
• Knowledge of Flash, Visual Basic and HTML/JavaScript based visualization services and software libraries 

Key Responsibilities
A full listing of Data Visualization responsibilities would include the following:
• Providing value-add analysis to Business through use of visualization software to guide analysis, drawing implications from analysis, and synthesizing into clear communications

Basic qualifications

Any graduate or Post Graduate in Engineering

Min. Qualification:

ug

Skills Required:

analytics, data architect, data modeling, excel, HTML5, JavaScript, oracle, python, qlikview, r, sql, sql server integration service (SSIS), tableau, teradata