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Senior Data Analyst

5.00 to 0.00 Years   Kolkata   19 Feb, 2020
Job LocationKolkata
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaStatistics / Analytics
EmploymentTypeFull-time

Job Description

Primary Skill: Procurement Data ScientistJob Description

  1. UPP PROJECT Participate to all UPP meeting where Supplier topic belongs to Build implement supplier datamodel for new sourcing tools aligned with current landscape particpate supplier migration
  2. Validate datamodel exchange in interface with P2P ecosystem
  3. Validate all operational Supplier reports either from subsytem and at DWH level on GBI until signoff ARCHITECTURE MODELIZATION
  4. Understanding of all P2P ecosystem from VMS GPS GFS ITESOFT BASWARE OPENTEXT to CASHPOOLER with all external feeds in all country monitor the landscape highly technical position with responsibility to lead the development validation publishing and maintenance of logical and physical data models required to interface migrate existing independent data marts into GBI and for new business requirements to be implemented Sync with GIT MDM they study currently EmployeeMD in same way SUPPORT Design certify all report in GBI and other systems
  5. Design all reports and process to monitor discrepancies reconcilation cleansing with business rules
  6. Design all process and reports to control external aggregation of data Duns Provigis ecovadis by opposition all Business support process that use Master or Transactional Data must be stamped by him her BUSINESS Invent with Business all predictability rules have 6th sense supplier oriented Invent bots process for maintenance Consider regulation and privacy Sync with Legal and DataprivacyOfficer
  7. Work experience 5 years in business environments in Data Modeling Demonstrable experience in developing validating publishing maintaining LOGICAL data models with exposure to or experience in developing validating publishing maintaining PHYSICAL data models
  8. Evaluate existing data models and physical databases for variances and discrepancies Demonstrable experience in developing publishing and maintaining all documentation for data models
  9. Work with Business Analysts Data Architects Software developers DBAs to achieve project objectives delivery dates cost objectives quality objectives business customer satisfaction objectives etc
  10. Preferred Qualifications Leverage and enforce standards for data naming conventions to ensure consistency and reuse of data models
  11. Validate business use cases for accuracy and completeness of proposed data models Knowledge of Capgemini P2P landscape and flowing of data
  12. Ability to understand System Subsystem and end2end datacontrol IT DB skills high level system subsystem e2e plus business supplier approach must know the data
,

Keyskills :
sqldata analysis sql serverdata modeling data architectscommercial models customer satisfaction

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