ICQA Data Analyst, ICQA
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Job Location:
Kemps Creek - Australia
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
The Data Analyst assigned to ICQA (Inventory Control/Quality Assurance) will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for root cause investigation of defects and will provide support to ensure compliance to ICQA-related SoX requirements.
Key job responsibilities
Development of data collection processes and data management systems
Maintenance of data integrity (0% error rate)
Designing of queries compiling of data and generation of reports in MS Access and Excel
Charting and graphing of data for reporting purposes
In depth research of defect trends
Data collection and entry as needed
Data mining and problem solving
Back up for Process Assistant duties
A day in the life
After you have completed a number of housekeeping reports you have developed and improved over time your manager flags a quality metric that has been poor the last few weeks. You are asked to deep dive into the data for this metric identify barriers and suggest possible solutions. Your suggestion is implemented and you build a specific report to measure its progress over the next few weeks.
About the team
The ICQA team lives by the Insist on the highest standards leadership principle. Your role will be to make this principle a reality by supporting standards and quality through data and analysis. We also love getting creative with data so an imaginative analyst is preferred!
- 1 years of Microsoft Office products and applications experience
- High school or equivalent
- Work a flexible schedule including weekends nights and holidays
- Can lift up to 20 KGs stand/walk during shifts lasting up to 12 hours and be able to frequently push pull squat bend and reach
- Work 40 hours/week and overtime as required
- 2 years experience on Microsoft Excel. This means you are adept at Pivot Tables basic formulas such as VLOOKUP/IF and are confident analyzing large datasets.
- Experience in deep diving FC Processes through tools such as FC Research Atlas and Peculiar Inventory in roles such as Problem Solve Ticketing or Damage Processing.
- 1 year experience on SQL. This means you know the basics such as syntax queries modifiers and calculations.
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Key job responsibilities
Development of data collection processes and data management systems
Maintenance of data integrity (0% error rate)
Designing of queries compiling of data and generation of reports in MS Access and Excel
Charting and graphing of data for reporting purposes
In depth research of defect trends
Data collection and entry as needed
Data mining and problem solving
Back up for Process Assistant duties
A day in the life
After you have completed a number of housekeeping reports you have developed and improved over time your manager flags a quality metric that has been poor the last few weeks. You are asked to deep dive into the data for this metric identify barriers and suggest possible solutions. Your suggestion is implemented and you build a specific report to measure its progress over the next few weeks.
About the team
The ICQA team lives by the Insist on the highest standards leadership principle. Your role will be to make this principle a reality by supporting standards and quality through data and analysis. We also love getting creative with data so an imaginative analyst is preferred!
- 1 years of Microsoft Office products and applications experience
- High school or equivalent
- Work a flexible schedule including weekends nights and holidays
- Can lift up to 20 KGs stand/walk during shifts lasting up to 12 hours and be able to frequently push pull squat bend and reach
- Work 40 hours/week and overtime as required
- 2 years experience on Microsoft Excel. This means you are adept at Pivot Tables basic formulas such as VLOOKUP/IF and are confident analyzing large datasets.
- Experience in deep diving FC Processes through tools such as FC Research Atlas and Peculiar Inventory in roles such as Problem Solve Ticketing or Damage Processing.
- 1 year experience on SQL. This means you know the basics such as syntax queries modifiers and calculations.
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
About Company
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