About OceanPass

OceanPass is building the infrastructure layer for trusted emissions data in global shipping.

We work with charterers, banks, and cargo owners who need accurate, auditable voyage emissions data — not spreadsheets and guesswork. Our platform sits between commercial decisions and regulatory reality. When a voyage is reported, we make sure the numbers hold up.

We are a small, focused team. We move fast, work directly with customers, and care deeply about data integrity. If the numbers are wrong, nothing else matters.

The Role

We’re hiring a student assistant to support our Product & Data team in scaling our voyage data validation process.

You will work hands-on with real customer voyage reports. Your job is to make sure that what comes in is correct, complete, and consistent before it becomes part of the product our clients rely on.

This is not passive admin work. It’s operational quality control at the heart of a growing data product.

What You’ll Do

• Review voyage report templates before they go live in our system

• Compare uploaded Excel files against database outputs and dashboard results

• Validate key figures (fuel consumption, transport work, emissions factors, dates, distances)

• Identify inconsistencies and document them clearly: what you saw, why it’s wrong, how to reproduce it

• Flag missing or suspicious data early

• Help structure repeatable validation routines so we catch issues systematically

• Keep trackers clean and up to date

Over time, you’ll help us turn manual checks into smarter validation workflows.

What This Role Requires

This role rewards people who are:

Highly detail-oriented

You notice when one number doesn’t reconcile with another. You don’t ignore inconsistencies.

Comfortable with structured data

Strong Excel skills are essential: filtering, pivot tables, lookups, comparing datasets, tracing formulas.

Technically curious

Basic SQL or Python experience is a plus. You don’t need to be an engineer, but you shouldn’t be intimidated by data or logic.

Clear communicators

When something is wrong, you explain it concisely. No drama. Just facts and clarity.

Proactive by default

We will not always tell you what to do next.

If you see a recurring issue, you propose a fix.

If a check can be standardized, you suggest how.

If something feels inefficient, you say so — with a solution.

We’re building systems. Not patching symptoms.

You’ll Be a Great Fit If You

• Like working methodically, even when data is messy

• Enjoy solving “why does this number look off?” problems

• Take ownership instead of waiting for instructions

• Want exposure to how a real product ships safely into production

• Are comfortable in a small team where your work directly matters

Nice to Have

• Interest in analytics, product quality, or data engineering

• Curiosity about sustainability, maritime, logistics, or emissions reporting

What You’ll Get

• Direct exposure to how a data product operates behind the scenes

• Real responsibility from day one

• Mentorship on debugging, validation logic, and structured problem solving

• A close-up view of how product, engineering, and operations work together

If you perform well, this role can grow.

Logistics

• Part-time, flexible hours (fits around studies)

• Copenhagen-based, in-person preferred (hybrid during exam periods)

• Start: ASAP

• Minimum 6 months

How to Apply

• Submit your CV by 27 March. We review applications on a rolling basis.