Ocean data analyst
| Highest | $5,800 / mo · United States |
|---|---|
| Experience | 2–4 yrs |
| Degree | Required |
| First paycheck | 3 years bachelor's + 2 years master's |
Pay in the destination countries
Monthly, in US dollars. Each country is an Imora admission package — open one for that route's fees, language requirement and deadline.
| Country | Monthly |
|---|---|
| United StatesTOEFL 80–100 · $10–70k | $5,800max |
| AustraliaIELTS 6.0–6.5 · AUD 30–50k | $5,450 |
| SwitzerlandIELTS 6.5 · CHF 0.9–8k | $5,350 |
| CanadaIELTS 6.0–6.5 · CAD 20–40k | $5,350 |
| NorwayIELTS 6.0–6.5 · NOK 130–260k | $5,200 |
| Hong KongIELTS 6.0–6.5 · HK–200k | $5,200 |
What does the day look like?
Between 50% and 60% of your working day is spent on data wrangling: handling missing sensor signals, quality-control flags, reconciling irregular timestamps, converting formats, and debugging pipeline scripts. You ingest, clean, and analyze physical and biogeochemical parameters like sea surface temperature, salinity, wave height, and current velocity from satellite altimetry, Argo floats, and moored buoys. Core tools include Python (xarray, pandas, numpy, netCDF4, cartopy, matplotlib, SciPy), R, SQL, MATLAB, CDO, QGIS, ERDDAP APIs, and the Copernicus Marine Toolbox, working primarily with NetCDF (.nc), HDF5, and GRIB files.
Only 10% to 15% of the day is the glamorous part of exploring climate models and visualizing deep ocean phenomena. The remaining 25% to 30% goes to writing technical documentation, stakeholder reports, attending team stand-ups, and managing cloud storage costs on AWS S3, Google Cloud Platform, or Copernicus WEkEO. Work runs a standard 38 to 40 hours per week, Monday through Friday, with no routine night shifts. On-call duty occurs only rarely in operational monitoring centers during severe marine weather alerts.
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