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Singapore
Onsite
About the Role
We're looking for a Data Analyst Intern to work with our data team on the numbers Finance relies on.
Every financial report, reconciliation and month-end figure at Coinhako depends on data being right. You'll work on the analysis and checks behind those numbers — reconciling figures against independent sources, investigating why two reports disagree, and turning checks that someone currently does by hand into something that runs on its own.
This is real work on production data, scoped so you can finish things. You'll be given problems with a clear question and a clear finish line, and you'll have someone to ask when you get stuck.
A number being "right" is not always obvious. No single source is definitive — venues disagree, references lag, and a figure that looks wrong is often just the market moving. You'll learn how we decide what to trust, and why "I'm not sure yet, here's what I checked" is a better answer than a confident wrong one.
Day to day, your work answers questions like: Do these two reports agree, and if not, why? Which figure is the right one to use? Can this check be automated so nobody has to remember to run it?
What You’ll Do
Check that our numbers are correct
Reconcile financial figures against independent sources and explain any differences you find
Investigate when a report looks wrong, and work out whether it actually is
Trace a number back to where it came from
Automate the manual checks
Take a check someone currently runs by hand each week and turn it into something scheduled and reliable
Write SQL and Python to pull, compare and validate financial data
Make missing data visible rather than silent
Make the reporting easier to use
Build and maintain dashboards Finance uses to monitor financial performance
Document what a dataset means and what it excludes, so the next person doesn't have to ask
What We’re Looking For
No professional experience needed. We care about how you think and how carefully you work.
Currently studying, or recently graduated, in a numerate field — data, statistics, finance, accounting, computer science, engineering or similar
SQL — you've written queries with joins and aggregations, and you can read someone else's
Some Python, for analysis or automation
You're careful with numbers. You check your own output before you show it to anyone, and you notice when a total doesn't add up
You're comfortable saying "I don't know." We would much rather hear that than a confident answer that turns out to be wrong
You ask why a number is what it is, not just what it is
Clear written communication — a lot of this job is explaining a discrepancy to someone who isn't technical
What You'll Learn
How financial reporting and reconciliation actually work in a live crypto business
How to decide which number is the right number when several sources disagree
Building and running automated data checks and pipelines
Working with production data properly — version control, review, and not breaking things
Using AI tooling well: we provide it, and we'll show you how we use it here
Nice To Have
Coursework or personal projects involving financial, accounting or transaction data
Any experience with dashboards — Power BI, QuickSight, Tableau, or similar
Exposure to spreadsheets at scale, and an understanding of where they stop being safe
Interest in crypto or trading
What’s in it for you
Friendly and fun start-up work culture
Convenient work location located in the heart of CBD area
Vibrant office with a well-stocked pantry
Find out more about Coinhako here https://www.coinhako.com/ and don't forget to visit our Careers Page https://www.coinhako.com/join-us
By submitting your application to us, you consent to the collection, use, disclosure and processing of your personal data in accordance with our privacy policy, which is accessible at https://www.coinhako.com/legal/sg-1/privacy_policy.
