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BIP Intern
Fa Exjq Saasfaprod1 Fa Ocs Oraclecloud Com CX 1 · United States; Bellevue · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Fa Exjq Saasfaprod1 Fa Ocs Oraclecloud Com CX 1 |
| Title | BIP Intern |
| Normalized title | - |
| Department / team | Intern |
| Location | United States |
| Work model | - |
| Employment type | - |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-06-04 / 2026-06-06 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Fa Exjq Saasfaprod1 Fa Ocs Oraclecloud Com CX 1. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Intern. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Fa Exjq Saasfaprod1 Fa Ocs Oraclecloud Com CX 1 |
| Source | 54ec2db9-3c28-4475-b61f-912fa466bf41 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
Job Responsibilities
Position Summary
As a Summer Data Analysis Intern at Shein, You will gain hands-on experience in leveraging data to drive operational excellence. You will work closely with cross-functional teams to collect, analyze, and visualize logistics and supply chain data, helping to optimize delivery performance. Your contributions will support strategic decision-making and continuous improvement initiatives across our logistics network.
Job Responsibilities
• Analyze logistics performance metrics, including cost, timeliness and quality.
• Develop and maintain dashboards and reports to visualize key logistics data for stakeholders.
• Assist in identifying trends, bottlenecks, and opportunities for optimization within the logistics process
• Provide actionable insights to drive the growth of business and improvement of operational efficiency.
Job Requirements
Job Requirements
• Currently pursuing a Bachelor's or Master's Degree in quantitative fields such as statistics, engineering, economics, etc;
• Proficiency in analytical tools and programming languages such as SQL, Python
• Experience with data visualization tools like Tableau, Power BI, or similar platforms.
• Must be able to commit to a 12-week full-time work period during Summer 2026
Company
SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, SHEIN remains committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry.
Full job record
| Job ID | 079e4a23d3e7ec77ffbf22cb9a83370f1e1df33b |
| Org ID | 99c0cebc-1763-45c1-9c1a-c90595a2eeb5 |
| Source ID | 54ec2db9-3c28-4475-b61f-912fa466bf41 |
| Board ID | 54ec2db9-3c28-4475-b61f-912fa466bf41 |
| Provider | oracle_hcm |
| Provider Job Key | USA87554940 |
| Title | BIP Intern |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | United States; Bellevue |
| Department | Intern |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | Description Job Responsibilities Position Summary As a Summer Data Analysis Intern at Shein, You will gain hands-on experience in leveraging data to drive operational excellence. You will work closely with cross-functional teams to collect, analyze, and visualize logistics and supply chain data, helping to optimize delivery performance. Your contributions will support strategic decision-making and continuous improvement initiatives across our logistics network. Job Responsibilities • Analyze logistics performance metrics, including cost, timeliness and quality. • Develop and maintain dashboards and reports to visualize key logistics data for stakeholders. • Assist in identifying trends, bottlenecks, and opportunities for optimization within the logistics process • Provide actionable insights to drive the growth of business and improvement of operational efficiency. Job Requirements Job Requirements • Currently pursuing a Bachelor's or Master's Degree in quantitative fields such as statistics, engineering, economics, etc; • Proficiency in analytical tools and programming languages such as SQL, Python • Experience with data visualization tools like Tableau, Power BI, or similar platforms. • Must be able to commit to a 12-week full-time work period during Summer 2026 Company SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, SHEIN remains committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | week |
| Source URL | https://fa-exjq-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/SHEIN/job/USA87554940 |
| Apply URL | https://fa-exjq-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/SHEIN/job/USA87554940 |
| First Seen At | 2026-06-06 11:30:41Z |
| Last Seen At | 2026-06-06 20:20:34Z |
| Last Checked At | 2026-06-06 20:20:34Z |
| Last Changed At | 2026-06-06 11:30:41Z |
| Inactive At | — |
| Source Posted At | 2026-06-04 17:27:12Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-exjq-saasfaprod1.fa.ocs.oraclecloud.com|CX_1/date=2026-06-06/2026-06-06T20-20-29-499Z-3889fe238e818c72c20f4f8579309f78bef5d8f9498175eaf51ff3f0f532f208.json |
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