EntryInternshipEN
Reap is a global financial technology company headquartered in Hong Kong with employees across multiple countries. We enable financial connectivity and access for businesses worldwide by combining traditional finance with stablecoins for efficient money movement.
Through our stablecoin-powered corporate cards, payments, and expense management tools, we streamline financial operations and help businesses scale. Our APIs enable businesses to integrate stablecoin-enabled finance into their own products and services—from issuing Visa cards to facilitating cross-border payments.
Backed by leading investors including Index Ventures and HashKey Capital, Reap is building the future of borderless, stablecoin-enabled finance.
About the role
We are seeking a curious and detail‑oriented Data Analyst (BI) Intern to join our Data team at Reap. This role focuses on supporting the development and maintenance of business‑intelligence dashboards and analytical reports that empower finance, operations, and business teams to make data‑driven decisions. You will work closely with data product managers, data analysts, data engineers, and product stakeholders to help clean, analyze, and visualize data, while gaining hands‑on experience in SQL, BI tools, and modern data workflows.
Key responsibilities
Assist in collecting, validating, and cleaning data from multiple internal systems (e.g., transaction data, finance, and operational tables) to ensure accuracy and consistency for reporting.
Support the creation and maintenance of BI dashboards and reports in tools such as Looker or Metabase to track key business metrics and operational KPIs.
Write and debug basic SQL queries to extract, aggregate, and transform data for ad‑hoc analyses and recurring reports.
Collaborate with analysts and product teams to understand business questions, translate them into simple analytical tasks, and document the assumptions and logic behind calculations.
Help maintain data quality by validating outputs, flagging inconsistencies, and contributing to data‑dictionary or documentation efforts for shared data assets.
Participate in team meetings, present findings succinctly, and incorporate feedback to refine analyses and visualizations.
Qualifications
Currently pursuing a bachelor’s degree in a quantitative field (e.g., Data Analytics, Data Science, Statistics, Business Management, Mathematics, or related discipline).
Strong interest in data, analytics, and business intelligence; some exposure to SQL, Excel, and a BI tool (e.g., Looker, Metabase) is preferred but not required.
Comfort working with numbers, spotting patterns, and explaining insights in clear, non‑technical language.
Ability to work in a fast‑paced environment, take ownership of small tasks, and ask questions to clarify requirements.
Bonus: Understanding of data warehouses / ETL concepts.
What you’ll gain
Hands‑on experience building real BI dashboards and reports used by finance, operations, and product teams.
Exposure to scalable data platforms (e.g., Snowflake, BI tools, and data‑governance practices) in a fintech environment.
Mentorship from experienced data analysts and product managers, with opportunities to contribute to AI‑enhanced analytics and self‑service data initiatives.
Benefits
A Global & Dynamic Team
Remote Work Friendly
After submitting your application, please check your inbox for a confirmation email. If you don't see it, kindly check your spam or junk folder and adjust your settings to ensure future communication reaches your inbox. You can follow the steps here.
