Data Coordinator
Company | Jabil |
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Location | Elkton Dr, Colorado Springs, CO, USA |
Salary | $58800 – $94200 |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Entry Level/New Grad, Junior |
Requirements
- 1–2 years of experience working with data in a technical, analytical, or implementation support role (internships, project work, or entry-level experience welcome)
- Advanced level of experience with Microsoft Office applications (Excel, Word, PowerPoint)
- Ability to define problems, collect data, establish facts, and draw valid conclusions
- Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals
- Ability to compute rate, ratio, and percent and to draw and interpret graphs
- Authorized to work for an employer in the US
Responsibilities
- Assists in the management and maintenance of databases, ensuring data accuracy, and supporting data analysis tasks
- Participates in building and managing various databases within various software interfaces
- Maintains or drafts applicable QMS procedure through the change control process as applicable
- Oversees ERP issues, procedures, understanding, and on-site support for JOES NNA and other business partners
- Interfaces with, and works in, the SAP ERP system, Critical Manufacturing MES system, Windchill, ComplianceWire, and EtQ systems
- Assist with managing SAP IT, Service Now tickets for the respective site
- Collaborate mass loads for routers and BOM updates
- Analyse software access requests, and execute as applicable
- Maintain clear and organized documentation of data schemas, integration process, and partner requirements
- Participate in software transformation or upgrade projects
- Training, guiding, troubleshooting if necessary
- May perform other duties and responsibilities as assigned and not all responsibilities may be assigned.
Preferred Qualifications
- Advanced PC skills, including training and knowledge of Jabil’s software packages
- Bachelor’s degree in a technical, business, or analytical field
- Ability to effectively present information and respond to questions from groups of peers, stakeholders and managers
- Familiarity with data formats such as JSON, XML, or CSV
- Basic understanding of SQL or other data querying languages, and familiarity with Python for data manipulation
- Ability to understand and apply basic statistics concepts, such as probability distributions and hypothesis tests
- Experience working with structured data