SAP Data Analyst

at Skill Demand
Published September 12, 2018
Location Indianapolis, IN
Category Default  
Job Type Contractor  

Description

Greetings,

This is Colin from Skill Demand, We are looking to fill a SAP Data Analyst with one of our top clients Located in Indianapolis, Indiana

Please let me know if you would be interested in knowing more about this opportunity.

 

Job title:             SAP Data Analyst

Location:            Indianapolis, Indiana

Duration:           Long term Contract

Our client has undertaken an enterprise-wide digital transformation to harmonize the disparate operations of multiple international business units into one global, common system. This global, simple, standard and modern business model is being constructed using agile design principles powered by SAP.

Role Description:

·         Data Analysts are part of the existing Integrated Services business organization for Supply Chain and Valuation & Control. Analysts “own” various master data objects. These individuals are responsible for providing visibility to and assessing impact of projects by connecting and communicating with key stakeholders such as other Data Analyst, Process SMEs, Global Process Owners, Global Business Solutions (i.e. Shared Service Centers), Manufacturing Sites, External Manufacturing groups, Affiliates (i.e. country) and SAP IT resources. These data object owners carry decision rights for master data changes in consultation with the previously noted stakeholders, as well as being pivotal in the development and administration of master data training, lifecycle management and data quality efforts. The ability to load and maintain data and understand associated integration and timing implications within a project or as part of business production support is also part of this role.

·         The SAP consultants staffing the Data Analyst role will be expected to work under the guidance of the existing Data Analysts to execute the responsibilities noted above as part of various projects or support activities. The work will be executed in a largely independent and self-sufficient manner with customary reviews by existing Data Analysts at predefined checkpoints per the methodology.