Data Specialist Requirements Specification
- 1. Role Overview
The Data Quality Support Resource will provide hands-on support to the Global
Enterprise Transformation (GET) migration team by reviewing validating cleansing and preparing data across Finance Supply Chain Technical and Document Management objects.
This role is critical to ensuring that all data provided to the GET transformation and migration teams is clean complete and compliant within defined rules and structures before cut-over.
The resource will work closely with key users and project teams to identify gaps resolve data issues and ensure readiness for data submission cycles.
Key Responsibilities
- Finance Source-System Data Quality & Clearing Support
- Populate and maintain data migration files for the GET Project.
- Proactively identify data issues across project streams ensuring that migration data is aligned to GET requirements before mock migration or cut-over.
- Provide the business with support and clear guidance on corrective actions
- Monitor closure of required clean-up tasks.
- Support reconciliation of business datasets to ensure they are clean accurate and ready for migration.
Data Quality Review
Transformation Output Validation
Post-Load Verification Support (Business-Led)
After data loads assist the business with verification activities by:
- Preparing comparison views between source transformed and loaded data.
- Highlighting discrepancies without taking accountability for business sign-off.
- Supporting issue logging and categorization for remediation.
Required Skills & Competencies
Large dataset handling and data cleansing techniques
- Automated Data Quality Testing
- Excel Dashboard Development
Soft Skills
Experience Requirements
Deliverables
Engagement Model
Data Preparation Transformation Support & Template Alignment Support Key Users throughout the preparation and cleansing process by: Template & Structure Validation- Validate that data in internal submission templates aligns with GET mapping rules transformation logic and cleansing requirements.
- Identify and resolve structural formatting or merging issues in submission templates.
- Review populated templates for completeness accuracy and logical correctness before submission.
- Cross-check that data conforms to standards (naming units mandatory fields value lists etc.).
- Ensure data mapping between dependent datasets is consistent (eg. AP vendor exists on the Vendor Master)
- Assist in the transformation of business data to submission format for migration.
- Validate transformed data produced by GET/automation tools against cleansing rules.
- Identify discrepancies and log issues for remediation.
Technical Skills- Advanced Excel skills including:
- Power Query / Data Queries
- Pivoting merging unpivoting datasets
- Advanced formulas (LOOKUP functions TEXT formulas logic rules LET etc.)
Strong understanding of Relational Databases. Experience in data migration data quality or master data governance. Knowledge of Procurement Finance and Operational data in ERP systems.Excellent communication and ability to clearly articulate required corrections to business stakeholders.Ability to work independently and manage multiple data streams under pressure. High attention to detail and structured analytical approach.Ability to collaborate with cross-functional teams (Finance SCM Engineering Document Management).
Data Specialist Requirements Specification 1. Role Overview The Data Quality Support Resource will provide hands-on support to the Global Enterprise Transformation (GET) migration team by reviewing validating cleansing and preparing data across Finance Supply Chain Technical and Document Management...
Data Specialist Requirements Specification
- 1. Role Overview
The Data Quality Support Resource will provide hands-on support to the Global
Enterprise Transformation (GET) migration team by reviewing validating cleansing and preparing data across Finance Supply Chain Technical and Document Management objects.
This role is critical to ensuring that all data provided to the GET transformation and migration teams is clean complete and compliant within defined rules and structures before cut-over.
The resource will work closely with key users and project teams to identify gaps resolve data issues and ensure readiness for data submission cycles.
Key Responsibilities
- Finance Source-System Data Quality & Clearing Support
- Populate and maintain data migration files for the GET Project.
- Proactively identify data issues across project streams ensuring that migration data is aligned to GET requirements before mock migration or cut-over.
- Provide the business with support and clear guidance on corrective actions
- Monitor closure of required clean-up tasks.
- Support reconciliation of business datasets to ensure they are clean accurate and ready for migration.
Data Quality Review
Transformation Output Validation
Post-Load Verification Support (Business-Led)
After data loads assist the business with verification activities by:
- Preparing comparison views between source transformed and loaded data.
- Highlighting discrepancies without taking accountability for business sign-off.
- Supporting issue logging and categorization for remediation.
Required Skills & Competencies
Large dataset handling and data cleansing techniques
- Automated Data Quality Testing
- Excel Dashboard Development
Soft Skills
Experience Requirements
Deliverables
Engagement Model
Data Preparation Transformation Support & Template Alignment Support Key Users throughout the preparation and cleansing process by: Template & Structure Validation- Validate that data in internal submission templates aligns with GET mapping rules transformation logic and cleansing requirements.
- Identify and resolve structural formatting or merging issues in submission templates.
- Review populated templates for completeness accuracy and logical correctness before submission.
- Cross-check that data conforms to standards (naming units mandatory fields value lists etc.).
- Ensure data mapping between dependent datasets is consistent (eg. AP vendor exists on the Vendor Master)
- Assist in the transformation of business data to submission format for migration.
- Validate transformed data produced by GET/automation tools against cleansing rules.
- Identify discrepancies and log issues for remediation.
Technical Skills- Advanced Excel skills including:
- Power Query / Data Queries
- Pivoting merging unpivoting datasets
- Advanced formulas (LOOKUP functions TEXT formulas logic rules LET etc.)
Strong understanding of Relational Databases. Experience in data migration data quality or master data governance. Knowledge of Procurement Finance and Operational data in ERP systems.Excellent communication and ability to clearly articulate required corrections to business stakeholders.Ability to work independently and manage multiple data streams under pressure. High attention to detail and structured analytical approach.Ability to collaborate with cross-functional teams (Finance SCM Engineering Document Management).
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