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Data Quality Specialist II
Cencora
Pune, IND
Full-time
Entry · 2+ years experience
Onsite
Discovered 2 weeks ago
SAP
Free
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Job Details
We are seeking a highly detail-oriented and analytical Data Quality Specialist (Level 2) to join our dedicated team. In this critical role, you will focus on ensuring data quality and accuracy, and analysis. Your responsibilities will be vital to supporting our onboarding processes, including auditing and validating customer master fields, creating Master Load Templates (MLTs) based on customer-provided documentation, determining credit parameters for specific thresholds and existing accounts, and finalizing account setups to enable customers to place orders. You will collaborate closely with Data Quality Specialists (Level 1) and cross-functional teams to facilitate successful onboarding and account setup for new customers. If you thrive in a detail-driven environment and are passionate about upholding high standards of data integrity, this is the perfect opportunity for you to advance your career. The ideal candidate will possess a keen eye for detail, excellent problem-solving skills, and a solid understanding of customer master data management and onboarding workflows.
Key Responsibilities
- Data Auditing & Validation : Audit and validate all SAP customer master fields for onboarding records to ensure accuracy, consistency, and compliance with organizational standards.
- Advanced Documentation Analysis: Lead the analysis of customer-submitted documents to extract and interpret essential data elements, determining setup parameters that align with customer needs. Quality Assurance Champion: Conduct meticulous quality checks to safeguard data integrity, identifying, troubleshooting, and resolving discrepancies or errors to ensure all data is complete and reliable.
- Advanced Documentation Analysis: Lead the analysis of customer-submitted documents to extract and interpret essential data elements, determining setup parameters that align with customer needs.
- Quality Assurance Champion: Conduct meticulous quality checks to safeguard data integrity, identifying, troubleshooting, and resolving discrepancies or errors to ensure all data is complete and reliable.
- Data Integrity Maintenance: Identify and correct discrepancies in customer master data, ensuring high-quality standards for data accuracy and integrity. Collaboration: Partner closely with cross functional teams, sales and Customer Engagement Managers to clarify data requirements and resolve any issues related to data input.
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