Home › Companies › Redotpay › Business Intelligence Intern
Business Intelligence Intern
Redotpay · Hong Kong, Hong Kong, 000000, Hong Kong · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Redotpay |
| Title | Business Intelligence Intern |
| Normalized title | - |
| Department / team | Business Intelligence |
| Location | Hong Kong, Hong Kong |
| Work model | - |
| Employment type | Internship |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-05-28 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-19 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Redotpay. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Hong Kong. | Open |
| Department jobs | Active postings in Business Intelligence. | 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 | Redotpay |
| Source | 1e7f2d06-8d7b-467d-b843-323ee6bc1221 |
| ATS provider | BambooHR |
Description
About RedotPay
RedotPay is a global crypto payment fintech integrating blockchain solutions into traditional banking and finance infrastructure. Our user-friendly crypto platform empowers millions globally to spend and send crypto assets, ensuring faster, more accessible, and inclusive financial services. RedotPay advances financial inclusion for the unbanked and supports crypto enthusiasts, driving the global adoption of secure and flexible crypto-powered financial solutions. Join us in shaping the future of finance and making a meaningful impact on a global scale.
Job Responsibilities
Business Data Support : Collaborate with core business lines such as platform, card consumption, and acquiring services. Respond to daily data extraction requests from product, operations, and risk control teams, providing data support for business decision-making.
Reports and Dashboard Development : Maintain and iterate core business monitoring reports (e.g., DAU, authorization success rate, retention rate, etc.). Use BI tools to build automated visualization dashboards for anomaly monitoring and early warning of business metrics.
Thematic Analysis : Conduct in-depth analysis of user behavior paths, including user churn, conversion funnels, and campaign effectiveness evaluation. Deliver actionable business insights.
Model and Strategy Support : Assist data scientists or strategy analysts in feature engineering, A/B experiment design, and results evaluation. Participate in the review and optimization of market acquisition and user growth strategies.
Data Governance : Assist in organizing data tracking documentation, verify the accuracy of data reporting, and ensure the integrity of underlying data assets.
Job Requirements
Undergraduate or above (currently enrolled), majoring in Statistics, Mathematics, Computer Science, Financial Engineering, Economics, or related fields.
Must be proficient in SQL, capable of writing efficient complex queries (multi-table joins, window functions, etc.).
Familiar with Python data analysis libraries (Pandas, NumPy) or R language. Candidates with experience in data cleaning and basic modeling are preferred.
Proficient in at least one visualization tool such as Tableau, Power BI, or QuickBI.
Advanced Excel skills (pivot tables, formulas, charts).
Clear logical thinking, high data sensitivity, excellent communication skills, and strong stress resilience.
Additional Advantages
Prior internship experience in data analysis at internet giants or financial institutions (banks, consumer finance, internet finance) is preferred.
Candidates who can effectively leverage AI tools to improve efficiency are preferred.
Full job record
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| Org ID | c825e977-0449-4906-8427-64816f10b2c7 |
| Source ID | 1e7f2d06-8d7b-467d-b843-323ee6bc1221 |
| Board ID | 1e7f2d06-8d7b-467d-b843-323ee6bc1221 |
| Provider | bamboohr |
| Provider Job Key | 178 |
| Title | Business Intelligence Intern |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Hong Kong, Hong Kong, 000000, Hong Kong |
| Department | Business Intelligence |
| Team | — |
| Employment Type | internship |
| Workplace Type | — |
| Remote Policy | — |
| Country | — |
| Region | Hong Kong |
| City | Hong Kong |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://redotpay.bamboohr.com/careers/178 |
| Apply URL | https://redotpay.bamboohr.com/careers/178 |
| First Seen At | 2026-05-30 05:43:51Z |
| Last Seen At | 2026-06-19 10:31:24Z |
| Last Checked At | 2026-06-19 10:31:24Z |
| Last Changed At | 2026-05-30 05:43:51Z |
| Inactive At | — |
| Source Posted At | 2026-05-28 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=redotpay/date=2026-06-19/2026-06-19T10-31-21-267Z-2d5421f71fb8cfc58eb4594a56a511dbf45ffa22bc12564ed91dd045814a3ae7.json |
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"description": "<p><span style=\"font-weight: bold\">About RedotPay</span></p>\n<p>RedotPay is a global crypto payment fintech integrating blockchain solutions into traditional banking and finance infrastructure. Our user-friendly crypto platform empowers millions globally to spend and send crypto assets, ensuring faster, more accessible, and inclusive financial services. RedotPay advances financial inclusion for the unbanked and supports crypto enthusiasts, driving the global adoption of secure and flexible crypto-powered financial solutions. Join us in shaping the future of finance and making a meaningful impact on a global scale.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Job Responsibilities</span></p>\n<ol>\n<li><span style=\"font-weight: bold\">Business Data Support</span>: Collaborate with core business lines such as platform, card consumption, and acquiring services. Respond to daily data extraction requests from product, operations, and risk control teams, providing data support for business decision-making.</li>\n<li><span style=\"font-weight: bold\">Reports and Dashboard Development</span>: Maintain and iterate core business monitoring reports (e.g., DAU, authorization success rate, retention rate, etc.). Use BI tools to build automated visualization dashboards for anomaly monitoring and early warning of business metrics.</li>\n<li><span style=\"font-weight: bold\">Thematic Analysis</span>: Conduct in-depth analysis of user behavior paths, including user churn, conversion funnels, and campaign effectiveness evaluation. Deliver actionable business insights.</li>\n<li><span style=\"font-weight: bold\">Model and Strategy Support</span>: Assist data scientists or strategy analysts in feature engineering, A/B experiment design, and results evaluation. Participate in the review and optimization of market acquisition and user growth strategies.</li>\n<li><span style=\"font-weight: bold\">Data Governance</span>: Assist in organizing data tracking documentation, verify the accuracy of data reporting, and ensure the integrity of underlying data assets.</li>\n</ol>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Job Requirements</span></p>\n<ol>\n<li>Undergraduate or above (currently enrolled), majoring in Statistics, Mathematics, Computer Science, Financial Engineering, Economics, or related fields.</li>\n<li>Must be proficient in SQL, capable of writing efficient complex queries (multi-table joins, window functions, etc.).</li>\n<li>Familiar with Python data analysis libraries (Pandas, NumPy) or R language. Candidates with experience in data cleaning and basic modeling are preferred.</li>\n<li>Proficient in at least one visualization tool such as Tableau, Power BI, or QuickBI.</li>\n<li>Advanced Excel skills (pivot tables, formulas, charts).</li>\n<li>Clear logical thinking, high data sensitivity, excellent communication skills, and strong stress resilience.</li>\n</ol>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Additional Advantages</span></p>\n<ul>\n<li>Prior internship experience in data analysis at internet giants or financial institutions (banks, consumer finance, internet finance) is preferred.</li>\n<li>Candidates who can effectively leverage AI tools to improve efficiency are preferred.</li>\n</ul>",
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