French-Speaking Quality & Process Improvement Lead

Amazon Inc.; Gdańsk; On-site; PLN 76,000 - 101,000; Full time

Benefits offered by this job

Pension plans

Health insurance

Life and disability insurance

Business travel insurance

MultiSport card

Employee discount code

EDC/Extras program

Job summary

Amazon MLS Poland is seeking Quality Specialists to establish robust quality strategies with customers and CPMs, setting metrics, audit approaches, and targets for each workflow.

They will craft prescriptive actions from data patterns, manage a feedback loop between operations and customers, and recommend process improvements while maintaining documentation for standardization across workflows.

Qualifications

• Fluency in French required at C1+ level.
• English proficiency at B2+ level.
• 1+ year(s) in quality assurance or data quality roles.
• Experience defining, tracking and reporting quality KPIs.
• Strong analytical and problem solving skills.
• Experience with data to identify trends and quality issues.
• Ability to create and maintain process documentation.

Responsibilities

• Define and implement quality metrics for established workflows.
• Create prescriptive actions for quality issues.
• Partner with customers, operations and internal teams to improve workflow quality.
• Conduct side-by-sides to identify opportunities for improvement.
• Analyze data trends and develop root cause solutions.
• Monitor quality performance and coach operations teams.
• Create and maintain quality metrics reports.
• Handle customer escalations and recommendations.
• Evaluate and suggest improvements for quality tools.

Skills

French fluency

English proficiency

QA experience

Quality metrics

Analytical skills

Data analysis

Documentation

Education

Bachelor's degree in relevant field

Bachelor's degree in Linguistics/Data Science/Business

Tools

Excel

SQL

BI tools

Job description

Amazon MLS Poland is seeking Quality Specialists to establish robust quality strategies with customers and CPMs, setting metrics, audit approaches, and targets for each workflow.

They will craft prescriptive actions from data patterns, manage a feedback loop between operations and customers, and recommend process improvements while maintaining documentation for standardization across workflows.