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Senior Data Analyst – Customer & Vendor Master
New Brunswick, NJ, US
Engineering
Bachelors Degree
Full Time, Temporary
55.00
Experienced (Non-Manager)
Remote
Medical Devices and Supplies
First Shift (Day)
New Brunswick, NJ, US
55.00
Experienced (Non-Manager)
Full Time, Temporary
Medical Devices and Supplies
Remote
Engineering
Bachelors Degree
First Shift (Day)
Job details
At Kelly® Science, Engineering, Technology & Telecom (SETT), we’re passionate about helping you find a job that works for you. We’re hiring a Senior Analyst – Data Quality and Automation (Customer & Vendor Master) for a contract hybrid or remote opportunity. With us, it’s all about finding the job that’s just right.
Senior Analyst – Data Quality and Automation (Customer & Vendor Master)
New Brunswick, New Jersey (remote/hybrid option) – Eastern Standard Time
6 months contract + potential to extend
Enhanced benefits (medical, dental, vision) + paid holidays & vacation
Customer & Vendor Master Data: Support the quality, maintenance, and governance of Customer and Vendor Master data, ensuring accuracy, completeness, and consistency of records across enterprise systems to enable reliable supply chain, procurement, and business operations. This role will be critical for reliability data across the organization. Working under the direction of the Data Quality & Automation Lead/Manager, this individual will implement day-to-day quality operations, support automation initiatives, and engage partners across different organizations.
Key Responsibilities
- Data Quality Operations: Performs data profiling, cleansing, validation, and reconciliation activities to improve the quality across systems.
- Identify, investigate, to data discrepancies and root causes; advance challenges and support resolution.
- Automation Support in building and maintaining automated workflows to reduce manual effort and improve data.
- Monitoring & Reporting: Maintain data quality dashboards, scorecards, and Key Performance Indicators; identifying trends and improvements
- Cross-Organization Engagement: Partner with different functions and organizations within Supply chain to understand data needs and drive corrective actions.
- Documentation: Maintain standard operating procedures, data standards, and knowledge-based content to sustain operations.
Required Qualifications
- Minimum five (5) years of significant professional experience
- Experience in data quality, data management, or supply chain analytics.
- Hands-on experience with SQL and data tools; exposure to automation platforms (Power Automate, Python, RPA, ETL).
- Good understanding of supply chain processes and master data domains (Customer and Vendor).
- May require up to 10% domestic and/or international travel to other sites and locations
Preferred Qualifications
- Familiarity with SAP S/4HANA, data governance concepts, and MDM tools.
- Exposure to Power BI or other BI/reporting tools.
- Lean Six Sigma awareness or certification.
Preferred Skills
- Strong analytical and problem-solving outlook for continuous improvement and operational performance.
- Shown ability in communications and partnership across teams.
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