Intermediate SAP ECC Data Analyst at SHEFARIA ENTERPRISES INC
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

09 Nov, 25

Salary

0.0

Posted On

10 Aug, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Sql, Pivot Tables, Processing, Etl, Microsoft Excel, Data Structures, Idoc

Industry

Information Technology/IT

Description

Location: Toronto, ON
Contract Duration: 12 Months
Experience Required: 4–5 years of relevant experience with SAP ECC data
Job Summary:We are looking for a skilled SAP ECC Data Analyst to join our team on a 12-month contract. The ideal candidate will have solid hands-on experience with SAP ECC data structures, particularly across Finance, Supply Chain, and Master Data domains, and be proficient in using Winshuttle tools for high-volume data extraction and loading.This role plays a key part in ensuring data accuracy and readiness for transformation, migration, and audit compliance across enterprise systems.Key

TECHNICAL SKILLS REQUIRED:

  • Strong understanding of SAP ECC tables, data structures, and transactional flows
  • Hands-on experience with Winshuttle Studio (Query + Transaction)
  • Familiarity with SAP LSMW, BAPIs, and IDoc processing
  • Proficient in Microsoft Excel (pivot tables, Power Query, macros/VBA)
  • Basic proficiency in SQL or ABAP debugging
  • Knowledge of data migration methodology, reconciliation techniques, and ETL best practices
Responsibilities
  • Analyze and extract structured data from SAP ECC modules (FI/CO, MM, SD, etc.).
  • Develop and maintain Winshuttle scripts (Transaction, Query, Studio) for automated data processes.
  • Perform data validation, transformation logic mapping, and reconciliation (pre-load and post-load).
  • Collaborate with SAP functional consultants to resolve data and field mapping issues.
  • Document data dictionaries, field mappings, and data flow diagrams.
  • Support data cleansing and harmonization initiatives in preparation for audits or migrations.
  • Build Excel-based dashboards or Power Query models to handle data exceptions.
  • Coordinate with IT teams and business SMEs for testing and cutover activities.
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