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Data Analyst – Location: Plano TX C2C

Role: Data Analyst

Location: Plano TX

Duration:  Long Term contract

Mode of Interview: Video

 

Job Description:

 

We are seeking a Data Analyst to support data analysis, validation, reporting, and audit readiness initiatives across multiple enterprise systems. The role involves working with large datasets to ensure data accuracy, traceability, and regulatory/compliance alignment, while collaborating closely with business and technical stakeholders.

 

Key Responsibilities

·         Analyze and reconcile large datasets across ERP systems, data warehouses, third‑party platforms, and supplier systems.

·         Perform data gap analysis, attribute‑level validation, and data quality checks.

·         Integrate data related to suppliers, manufacturing, shipments, pricing, and transactional records.

·         Develop and support dashboards and reports for compliance, audit, and business decision‑making.

·         Establish and document data lineage, metadata, and traceability to support auditable reporting.

· Review supplier and manufacturing data to support material and production traceability.

·         Support unit, system, and user acceptance testing (UAT), including defect analysis and data remediation.

·         Partner with stakeholders to capture requirements and clearly explain data logic, transformations, and flows.



 

Required Skills & Experience

·         Strong experience in data analysis and master data management (MDM) principles.

·         Proficiency in SQL and Microsoft Excel.

·         Hands‑on experience with data preparation/analytics tools (e.g., Alteryx or equivalent).

·         Experience with data modeling, data reconciliation, and BI/reporting tools.

·         Ability to explain data lineage, logic, and traceability to technical and non‑technical audiences.

·         Strong analytical, problem‑solving, and communication skills.



 

Preferred Experience

·         Exposure to regulatory reporting, compliance, or audit initiatives.

·         Experience working with supplier, manufacturing, logistics, or financial data domains

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