Data Quality Specialist, AGI Data Services - G T Quality
Data Quality Specialist, AGI Data Services - G T Quality

Data Quality Specialist, AGI Data Services - G T Quality

Cambridge Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop quality strategies and enhance workflows through data analysis and collaboration.
  • Company: Join Amazon, a leader in innovation and diversity.
  • Benefits: Competitive salary, inclusive culture, and opportunities for growth.
  • Why this job: Make a real impact on quality standards and customer satisfaction.
  • Qualifications: Strong analytical skills and effective communication abilities required.
  • Other info: Dynamic work environment with a focus on continuous improvement.

The predicted salary is between 28800 - 48000 £ per year.

Quality Specialists play a vital role in establishing and maintaining comprehensive quality frameworks across our operations. Their primary responsibility begins with developing robust quality strategies in collaboration with customers and CPMs, encompassing metrics, audit approaches, and specific targets for each workflow. When quality issues arise, these specialists create prescriptive actions, examining data patterns to formulate effective solutions. They maintain a continuous improvement cycle by managing a critical feedback loop between operations and customers, drawing insights from multiple sources including quality auditors, side‐by‐side observations, and metric analysis. Through regular side‐by‐side sessions, they identify opportunities for workflow enhancement and quality improvements. The specialists serve as key escalation points for customer concerns, providing strategic recommendations based on their deep understanding of processes. They consistently evaluate quality tools, suggesting refinements to enhance effectiveness, while simultaneously maintaining and updating process documentation to ensure standardization and clarity across all workflows. This comprehensive approach ensures quality remains at the forefront of our operational excellence.

Key Job Responsibilities

  • Define and implement quality metrics for established workflows
  • Create prescriptive actions for quality issues
  • Partner with customers, operations and internal support teams to optimize workflow quality
  • Conduct side‐by‐side sessions to identify opportunities for workflow enhancement and quality improvements
  • Analyze data trends and develop 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
  • Support process documentation and implementation

Basic Qualifications

  • Experience that includes strong analytical skills, attention to detail, and effective communication abilities
  • Advanced-level proficiency in English language (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards)

Preferred Qualifications

  • Bachelor's degree or equivalent
  • Experience with strong project management skills and the ability to thrive in a fast‐paced environment
  • Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization

Data Quality Specialist, AGI Data Services - G T Quality employer: Amazon

At Amazon, we pride ourselves on being an exceptional employer, particularly for the Data Quality Specialist role in Cambridge. Our inclusive work culture fosters collaboration and innovation, providing employees with ample opportunities for professional growth and development. With a strong focus on quality and continuous improvement, you will be empowered to make impactful contributions while enjoying the benefits of a diverse and supportive environment.
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Contact Detail:

Amazon Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Quality Specialist, AGI Data Services - G T Quality

Tip Number 1

Network like a pro! Reach out to current employees at Amazon or in similar roles on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

Tip Number 2

Prepare for the interview by practising common questions related to data quality and analytical skills. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your experience effectively.

Tip Number 3

Showcase your problem-solving skills during interviews. Think of specific examples where you've tackled quality issues or improved processes. This will demonstrate your ability to handle the responsibilities of a Data Quality Specialist.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at Amazon.

We think you need these skills to ace Data Quality Specialist, AGI Data Services - G T Quality

Analytical Skills
Attention to Detail
Effective Communication
Quality Metrics Development
Data Trend Analysis
Problem-Solving Skills
Project Management
Stakeholder Management
Continuous Improvement
Workflow Enhancement
Process Documentation
Customer Escalation Handling
Quality Tool Evaluation

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Data Quality Specialist role. Highlight your analytical skills and experience with quality metrics, as these are key to what we’re looking for at StudySmarter.

Showcase Your Communication Skills: Since effective communication is crucial in this role, don’t forget to demonstrate your ability to convey complex ideas clearly. Use examples from your past experiences where you’ve successfully communicated with stakeholders or resolved issues.

Highlight Continuous Improvement: We love candidates who are all about continuous improvement! Share specific instances where you’ve identified opportunities for workflow enhancement or implemented changes that led to better quality outcomes.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!

How to prepare for a job interview at Amazon

Know Your Metrics

Before the interview, brush up on key quality metrics relevant to the role. Understand how they impact workflow and customer satisfaction. Being able to discuss specific metrics and how you've used them in past roles will show your analytical skills and attention to detail.

Prepare for Scenario Questions

Expect questions that ask you to solve hypothetical quality issues. Think of examples from your experience where you identified a problem, analysed data trends, and implemented solutions. This will demonstrate your problem-solving abilities and your proactive approach to quality management.

Showcase Your Communication Skills

As a Data Quality Specialist, you'll need to communicate effectively with various stakeholders. Prepare to discuss how you've successfully managed stakeholder relationships in the past. Highlight any experiences where you had to present complex data or quality findings in an understandable way.

Emphasise Continuous Improvement

Be ready to talk about how you've contributed to continuous improvement cycles in previous roles. Share specific examples of how you've gathered feedback, identified opportunities for enhancement, and implemented changes that led to better quality outcomes. This shows your commitment to operational excellence.

Data Quality Specialist, AGI Data Services - G T Quality
Amazon
Location: Cambridge

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