Lead Fulfillment Associate , ICQA Data Analyst
Johnston, Rhode Island, USA
Amazon.com
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The Data Analyst role will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SOX requirements. The successful candidate will have 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, be vocally self-critical, and with an ability to work in a fast-paced and ever-changing environment. They recognize that the true measure of the work product is the business impact it has.
Since opening our virtual doors in 1995, Amazon has been pushing the boundaries of ‘possible’ further and further. Our entire business works hard to delight our customers – from the second an order is placed online to the seamless coordination of that order behind the scenes, we strive to stay agile, fluid and intentional. Our teams band together, roll up their sleeves, and aren’t content with just standing still. We’re aiming to become the most customer-centric company on Earth.
Things to know about working in an Amazon Fulfillment Center:
• We’re committed to providing a safe work environment. This means you wear a reflective vest, stretch and recognize others for working safely.
• We have a relaxed, casual dress code (as long as your attire meets our safety requirements).
• We work to regulate our sites as much as possible, but even with climate controls the noise and temperature levels can vary day to day. Hearing protection is available.
• You may be asked to work on a secure mezzanine at a height of up to 40 feet, or on powered equipment (forklift, cherry picker, etc.)
• You may be asked to lift up to 49 pounds, stand/walk for up to 10-12 hours, and push, pull, squat, bend and reach with or without reasonable accommodation.
Key job responsibilities
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
• Present analysis in easily digestible standard reports
• Responsible for teaching leadership team how to interpret data trends as
needed
• Any other priority requests as senior leadership assigns
• Back up for ICQA Process Assistant duties
- 1+ years of Microsoft Office products and applications experience
- High school or equivalent
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Can lift up to 49 pounds, 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
- Are 18 years of age or older
- 1+ year of leadership experience directly managing others
- 1+ year working in a like environment (manufacturing/distribution/warehousing/large retail)
- Excellent written and verbal communication and interpersonal skills to coach, train and assist team members
- 1+ year of experience working with computers and Microsoft Office including experience with Excel (v-lookups, pivot tables, etc.)
- Experience writing VBA and using macros in Microsoft Excel
- Expertise in SQL, Tableau and Python
- Demonstrated experience pulling and analyzing data to aid in root cause identification and drive process improvement initiatives across the network.
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 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.
Since opening our virtual doors in 1995, Amazon has been pushing the boundaries of ‘possible’ further and further. Our entire business works hard to delight our customers – from the second an order is placed online to the seamless coordination of that order behind the scenes, we strive to stay agile, fluid and intentional. Our teams band together, roll up their sleeves, and aren’t content with just standing still. We’re aiming to become the most customer-centric company on Earth.
Things to know about working in an Amazon Fulfillment Center:
• We’re committed to providing a safe work environment. This means you wear a reflective vest, stretch and recognize others for working safely.
• We have a relaxed, casual dress code (as long as your attire meets our safety requirements).
• We work to regulate our sites as much as possible, but even with climate controls the noise and temperature levels can vary day to day. Hearing protection is available.
• You may be asked to work on a secure mezzanine at a height of up to 40 feet, or on powered equipment (forklift, cherry picker, etc.)
• You may be asked to lift up to 49 pounds, stand/walk for up to 10-12 hours, and push, pull, squat, bend and reach with or without reasonable accommodation.
Key job responsibilities
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
• Present analysis in easily digestible standard reports
• Responsible for teaching leadership team how to interpret data trends as
needed
• Any other priority requests as senior leadership assigns
• Back up for ICQA Process Assistant duties
Basic Qualifications
- 1+ years of Microsoft Office products and applications experience
- High school or equivalent
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Can lift up to 49 pounds, 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
- Are 18 years of age or older
Preferred Qualifications
- A completed Associate’s or Bachelor’s Degree- 1+ year of leadership experience directly managing others
- 1+ year working in a like environment (manufacturing/distribution/warehousing/large retail)
- Excellent written and verbal communication and interpersonal skills to coach, train and assist team members
- 1+ year of experience working with computers and Microsoft Office including experience with Excel (v-lookups, pivot tables, etc.)
- Experience writing VBA and using macros in Microsoft Excel
- Expertise in SQL, Tableau and Python
- Demonstrated experience pulling and analyzing data to aid in root cause identification and drive process improvement initiatives across the network.
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 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Analyst Jobs
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Tags: Agile Data management Data Mining Excel Python Research SQL Tableau Teaching
Perks/benefits: Flex hours
Region:
North America
Country:
United States
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