Data Analyst - Internal Quality Audit

• At least 10 years
• The applicants should have experience in the following business area(s): Garments

• Diploma in Textile Engineering
• Bachelor in Engineering (BEngg) in Textile Engineering

• At least 10 years
• The applicants should have experience in the following business area(s): Garments

• Age At least 30 years

• Work Experience with Bureau Veritas, SGS, TUV-SUD, Intertek, QIMA will be preferred.

• Audit plan completion and timely reporting.

• Reduction of recurring quality non-conformities.

• Timely and effective CAPA closure.

• Improvement in process compliance & quality performance.

• Accuracy, objectivity & consistency of audit findings.

• Reduction of customer complaints, major defects & systemic quality risks.

UTAH Group of Companies. a renowned 100% export-oriented knit composite company of the Bangladesh is looking for an experienced, dynamic and highly potential professional as Data Analyst - Internal Quality Audit, located at Gazipur.

Key Responsibilities

• Track and report key RMG quality metrics, including Defects per Hundred Units (DHU) and Acceptable Quality Limit (AQL) pass/fail rates.

• Extract & consolidate daily cutting, sewing, and finishing quality data from factory floor logs.

• Analyze 4-Point fabric inspection logs and trim audit reports to identify raw material defect trends prior to production.

• Design / Graph and maintain interactive Power BI and Excel dashboards to display real-time quality KPIs for factory leadership.

• Conduct statistical root cause analysis on recurring garment defects, stitching errors, and wash variances across sewing lines.

• Audit internal quality control SOPs and inline/end line inspection workflows across all manufacturing units.

• Collaborate with QA, Production & IE teams to formulate and track Corrective and Preventive Actions (CAPA).

• Perform automated data monitoring to detect anomalies in fabric wastage, garment rejection rates, and cut-to-ship ratios.

• Automate daily and weekly quality data extraction processes to eliminate manual reporting errors and speed up insights.

• Audit pre-final and final buyer inspection results against internal QA data to identify variance and compliance gaps.

• Evaluate operator-level and line-level defect patterns to identify training needs and process bottlenecks.

• Quantify and track the financial impact of rework costs and non-productive time (NPT) caused by quality failures.

• Validate the data accuracy and integrity of paper-based and digital audit logs recorded on the factory floor.

• Monitor section-wise compliance with international Quality Management Systems (QMS) and buyer-specific technical standards.

• Perform predictive risk analysis on complex or new garment styles prior to launching bulk production runs.

• Analyze & Prepare quality reports to Senior Management.

• Salary Review: Yearly