Data Analyst

Hebron, Kentucky, USA

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Posted 4 days ago

Amazon is focused on protecting the health and safety of our employees while continuing to serve people who need our services more than ever. Regular testing on a global scale across all industries would both help keep people safe and help get the economy back up and running. But, for this to work, we as a society would need vastly more testing capacity than is currently available. Unfortunately, today we live in a world of scarcity where COVID-19 testing is heavily rationed. Until we have an effective vaccine available in billions of doses, high-volume testing capacity would be of great help, but getting that done will take collective action by NGOs, companies, and governments.

To help solve this problem, Amazon has begun the work of building incremental testing capacity. As a Data you will works closely with the Clinical team in the CLIA certified lab, Kazam team, dashboard teams, and quality team to provide data and analytical support, data organization, tracking, archiving, etc. You will also be involved in CAPA analysis for many of the NCRs related to the area of expertise. The ideal candidate must be collaborative, but also work with autonomy. To be successful in this role you must be highly analytical; think strategically; have a sense of urgency to meet customer timelines; exhibit an intense curiosity and learning drive, succeed in a fast-paced environment; engage key stakeholders where needed; and have a high level of customer focus. Also, you must have a demonstrated track record of managing multiple projects and driving them to completion to meet business objectives.

· Data collation, organization and statistical analysis of all validation studies
· Data mining, tracing and mapping.
· Utilizing data analytics in problem solving such as aging samples, missing samples, etc.
· Data management and tracking.
· Comparing reagents and lot performance by closely reviewing data trends, irregularities etc.
· Executing data analytics/mining projects as requested by operations, management, engineering, ops leads, quality and others.
· Creating multiple trackers in sites such as workdocs and QUIP for all lab data generated including QCs.
· Training and onboarding supervisors, tech leads, engineers on utilizing all data systems and other functional tools utilized in lab operations.
· Charting and graphing of data for reporting purposes.
· Organizing, documenting and filing all validation data and QC data in accordance with CAP and CLIA regulations.
· Complete ad hoc requests and analyses as needed.
· Work closely with lab directors on coordinating and managing various process improvement projects including providing data for KPIs.
· Work closely with lab supervisors and ops engineers to act as a liaison for Kazam and dashboard related requests including submitting JIRA tickets and following-up with dashboard teams on regular basis.

Basic Qualifications

Basic Qualifications:
• High school diploma or equivalent
• Ability to work extra hours as required
• Proficient with Microsoft Excel

Preferred Qualifications

Preferred Qualifications

• Demonstrated problem solving skills and analytical skill
• Experience with SQL, Oracle, Ruby on Rails, and HTML
• Proven ability to work productively and efficiently in an independent setting
• Proven ability to clearly communicate with managers and associates at all levels
• Global perspective and solid understanding of business objectives
• Excellent attention to detail and work with the highest level of accuracy
• Initiative to develop tools, data collection processes, and data management systems
• Prior experience as a Data Analyst or similar experience

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit

Job tags: Data Analytics Data Mining Engineering Oracle Ruby SQL
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