DATA ANALYST , ICQA – Inventory Control and Quality Assurance
Amazon is hiring a DATA ANALYST , ICQA – Inventory Control and Quality Assurance. Level rates it ; you can apply on Amazon.
Level's read on this job
- Little AI ●○○○ is how Level rates this data analyst role: aI is not part of the work.
- Tools and skills the posting cites include SQL, Python and Excel.
- Level classifies it as a mid-level role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Provide data and analytical support for inventory control, quality assurance, and operational defect root cause investigations.
support for ACES initiatives, root cause investigation of quality defects, and ensures compliance with ICQA-related SOX requirements.
This role has a strong understanding of different business models and the underlying analytics, and the ability to assimilate new
methodologies and data sources. They will be a self-starter comfortable with ambiguity, with strong attention to detail, and with an
ability to work in a fast-paced and ever-changing environment. The complexity of research and skills for the position is well beyond
basic data entry and research. It involves complex analysis and diving deep into key metrics based on requests, building and
maintaining multiple databases, extensive knowledge of software applications to create tools, and understanding of multiple
programming languages and data querying tools.
Key job responsibilities
Data Collection and Reporting
• Development of data collection processes and data management systems.
• Maintenance of data integrity (0% error rate).
• Design queries, compile data, and generate reports in SQL and Excel.
• Chart and graph data for reporting purposes.
• Complete daily and weekly SOX reporting as assigned; document findings and identify escalations.
• Develop and maintain regular SQL reporting as requested by leadership using the Amazon data warehouse.
Analysis and Problem Solving
• Lead root cause analysis for quality defects through data mining, trend analysis, and statistical modeling.
• Provide analytical support for ACES initiatives and process improvement projects.
• Conduct in-depth research of defect trends and perform root cause analysis.
• Data mining and problem solving to identify process gaps and opportunities.
• Present analysis in easily digestible standard reports.
• Work with quality leadership to improve standards and identify defects in the operation.
Operations Support
• Work in-path, performing associate and leadership tasks to identify data-driven solutions and automations.
• Develop automation solutions for analysis using Python or similar tools.
• Teach leadership team how to interpret data trends as needed.
• Support ICQA and Learning Team projects and any other priority requests as senior leadership assigns.
• Back up for ICQA Process Assistant duties as needed.
Basic qualifications
- 1+ years of Microsoft Office products and applications experience
- 1+ years of complex Excel VBA macros writing experience
- High school diploma, or equivalent
- Work flexible schedule including weekends, nights, and holidays
- Work 40 hours a week
- Experience with SQL and advanced Excel
- Experience using data to drive root cause elimination and process improvement
Preferred qualifications
- 1+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- Experience with end-to-end project management
- Experience working with agile development methodologies
- Knowledge of QA methodology and tools
- Familiarity with Amazon data warehouse systems (Redshift, S3, AWS Glue).
- Prior experience in a fulfillment center or warehouse environment.
- Strong problem-solving skills and attention to detail.
- Ability to work independently and manage multiple priorities effectively.
- Good communication skills and ability to influence senior leadership based on data findings.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
How we rate this
DATA ANALYST , ICQA – Inventory Control and Quality Assurance at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data analyst jobs at this level
Pay
- Typical data analyst job
- $114k
This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where data mining was part of your work. What did you do?
- Tell me about a project where root cause analysis was part of your work. What did you do?
- Tell me about a project where inventory control was part of your work. What did you do?
- Walk me through how you've used SQL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Analysis, Data Mining, Root Cause Analysis, Inventory Control, and SQL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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