Data Analyst Intern (Finance) - January to May 2027

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 .