Job Purpose: Work as part of the data cleanup team to identify analyze and resolve duplicate retailer codes in the DMS collaborating with vendor resources and validating changes with business stakeholders.
Key Responsibilities:
Perform detailed analysis of duplicate retailer codes
Develop data cleansing rules and validation criteria
Execute data cleanup activities according to project plan
Test and validate data changes before implementation
Document data inconsistencies and resolution methods
Support workshops with sales team to verify data assumptions
Train end users on maintaining data quality post-cleanup
Provide technical guidance to vendor resources as needed
Qualifications:
Strong analytical skills with attention to detail
Experience with data quality or master data management
Understanding of data relationships and dependencies
Ability to identify patterns in large datasets
Experience with data validation techniques
Good documentation skills
Problem-solving mindset
Ability to work collaboratively with technical and business teams
Job Purpose: Work as part of the data cleanup team to identify analyze and resolve duplicate retailer codes in the DMS collaborating with vendor resources and validating changes with business stakeholders. Key Responsibilities:Perform detailed analysis of duplicate retailer codesDevelop data cleansi...
Job Purpose: Work as part of the data cleanup team to identify analyze and resolve duplicate retailer codes in the DMS collaborating with vendor resources and validating changes with business stakeholders.
Key Responsibilities:
Perform detailed analysis of duplicate retailer codes
Develop data cleansing rules and validation criteria
Execute data cleanup activities according to project plan
Test and validate data changes before implementation
Document data inconsistencies and resolution methods
Support workshops with sales team to verify data assumptions
Train end users on maintaining data quality post-cleanup
Provide technical guidance to vendor resources as needed
Qualifications:
Strong analytical skills with attention to detail
Experience with data quality or master data management
Understanding of data relationships and dependencies
Ability to identify patterns in large datasets
Experience with data validation techniques
Good documentation skills
Problem-solving mindset
Ability to work collaboratively with technical and business teams
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