Job Description

Position Summary 
We are seeking a contingent Data Analyst to support supplier de-duplication and supplier master data standardization across our ERP landscape. This role will play an important part in improving supplier data quality, reducing duplicate record risk, and enabling more efficient decision-making during supplier cleanup and retrofit activities. 

The analyst will work across large and complex supplier data sets to identify duplicate records, support preferred supplier selection, and provide the reporting and analysis needed to execute de-duplication strategies in S/4HANA and MDG. This role will help translate raw data into practical insight so the business can move supplier standardization work forward with greater accuracy, control, and speed. 

Required Skills and Experience

Required Skills and Experience 

• Experience working as a Data Analyst in ERP, master data, procurement, supply chain, or transformation environments 
• Strong hands-on experience with Databricks for data extraction, transformation, and analysis 
• Strong experience with Power BI for dashboarding, reporting, and data visualization 
• Working knowledge of S/4HANA and MDG master data structures and processes 
• Experience analyzing large, complex data sets and turning findings into actionable recommendations 
• Understanding of supplier or vendor master data, duplicate identification, standardization, and governance practices 
• Ability to work effectively across technical and business teams 
• Strong attention to detail, analytical thinking, and problem-solving skills 
• Strong written and verbal communication skills 

Preferred Qualifications 

• Experience supporting supplier or vendor master data cleanup initiatives 
• Familiarity with procurement data objects such as purchase info records, source lists, purchasing blocks, and supplier status management 
• Experience supporting ERP transformation, data migration, or retrofit programs 
• Exposure to supplier hierarchy design, business partner structures, and address or banking data dependencies 

Key Responsibilities

Key Responsibilities 

• Analyze supplier master data across the ERP landscape to identify duplicate, inactive, and non-standard supplier records 
• Support wave-based supplier de-duplication activities by segmenting records based on transaction status, inventory, purchasing activity, and related risk factors 
• Use Databricks to run Sql queries to extract and evaluate large supplier data sets from multiple sources 
• Develop Power BI dashboards and reporting to track duplicate populations, standardization progress, deactivation readiness, and overall cleanup status 
• Perform detailed record analysis in S/4HANA and MDG to validate duplicate scenarios and support standardization decisions 
• Help identify survivor and non-survivor supplier records using defined business rules and data quality criteria 
• Support analysis related to supplier hierarchy, parent-child relationships, invoicing parties, and ordering address standards 
• Partner with core team and business stakeholders to prepare data for validation, decision-making, and execution planning 
• Support retrofit activities such as tracking open transactions, monitoring cleanup dependencies, and preparing records for downstream actions like purchasing blocks or deactivation 
• Document data issues, assumptions, business rules, and exceptions to improve repeatability and governance 
• Contribute to stronger supplier master data quality, reduced duplication, and improved ERP process consistency 

͏

͏