The QlikSense Data Modeler will be responsible for creating standard data models to be shared in multiple applications. Will be responsible for creating QVD' s & updating it on timely basis. Should be able to perform data transformation in the load script for implementing business rules. Should have knowledge of extracting data from different data sources i.e. SAP BW and HANA.
The role will primarily interface with the Business Community, Enterprise Architecture, PMO and Infrastructure groups to deliver these initiatives. The role responsibilities include business requirements analysis, building logical/physical data model for dashboard/visualization design. This role functions within a matrix organization.
Job Function
Discretionary Work Management(Projects/Enhancements):
Identify, define and deliver in parallel complex programs and projects/enhancements in a matrix environment.
Identify and resolve issues related to data models, qvd and performance.
Recognize QlikSense related risks/issues that need escalation and arrange for appropriate assistance.
Ensure adherence to the PMO process for managing projects and required deliverables.
Participate in regular status meetings with project teams, as led by project analysts.
Technical Development Management:
Must be technically adept at QlikSense development along with the creation/management of QVDs and QVFs.
Must have knowledge of BW data structures and models.
Aptitude for understanding data and how data from multiple sources interact for consumption of the end users
Can simplify, translate and explain complex processes / write SQL / Qlik Scripting/formulae
Troubleshooting ability
Must be a resourceful problem solver who possesses creativity in resolving problems
Possess a project oriented approach to development work
Ability to work independently and drive work to completion
Ability to manage a heavy workload, achieve results while meeting project deadlines with minimal supervision
Must be able to perform quality testing and beta testing of the applications that are delivered.
Relationship Management:
Interact, collaborate and negotiate with project team, IT colleagues and business line contacts to integrate activities to meet client needs
Provide input to supervisors of project personnel
Follow standards and processes for change management and version control
Good communication skill
Support Management:
Must be able to analyze and troubleshoot data model related issues(joins etc) in a timely manner and best practices of the company
Must be able to perform performance tuning and deliver optimal running conditions for building visualization
Experience/Education:
Bachelor' s degree in Business (or Management), Computer Science, Engineering, or related discipline, or equivalent work experience is required
At least 5 years of experience in Datawarehousing and Business Intelligence/analytics
Significant recent experience in the use of QlikSense ( connectors, data modelling including Qlik Scripting, Geoanalytics, NPrinting, Mobile integration, Analytics, Administration and Visualization)
Has worked with SAP BW and SAP HANA.
Qliksense September 2017 version experience a plus
Strong knowledge of data modeling and star-schemas.
Working knowledge and experience with Qlik scripting language. 4+ Years.
A good understanding of best practices such as naming conventions in creating applications for transformation and QVDs
Significant recent experience in the use of QlikSense ( connectors, data modelling including Qlik Scripting, Geoanalytics, NPrinting, Mobile integration, Analytics, Administration and Visualization)
Has worked with SAP BW and SAP HANA.
Qliksense September 2017 version experience a plus
Strong knowledge of data modeling and star-schemas.
Working knowledge and experience with Qlik scripting language. 4+ Years.
A good understanding of best practices such as naming conventions in creating applications for transformation and QVDs
Strong analytical skills and Strong process orientation with significant attention to detail
Effective interpersonal skills with ability to participate in and lead " Virtual" teams
Experience working with a large data warehouse a plus
Knowledge of relational databases, data warehousing, business intelligence and CRM tools