Data analyst
| Highest | $4,850 / mo · Switzerland |
|---|---|
| Experience | 0–1 yrs |
| Degree | Required |
| First paycheck | 4 years of undergraduate study |
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 |
|---|---|
| SwitzerlandIELTS 6.5 · CHF 0.9–8k | $4,850max |
| Hong KongIELTS 6.0–6.5 · HK–200k | $4,200 |
| SingaporeIELTS 6.5 · SGD 18–35k | $4,200 |
| United KingdomIELTS 6.0–7.0 · £11–38k | $4,200 |
| United StatesTOEFL 80–100 · $10–70k | $4,100 |
| NorwayIELTS 6.0–6.5 · NOK 130–260k | $4,050 |
What does the day look like?
About 60% of your day is spent cleaning, validating, and extracting data. You write SQL queries against policy administration, claims, and billing databases, resolve missing values, filter erroneous timestamps, and structure raw insurance tables. Another 20% involves actuarial support, such as formatting historical claims development triangles and reconciling underwriting data against ledger balances for senior actuaries. Around 15% goes into maintaining dashboards in Power BI, Tableau, or Excel, alongside automating monthly batch pulls with Python or VBA. The remaining 5% is spent in team stand-ups and methodology documentation.
Core tools include SQL (PostgreSQL, Microsoft SQL Server, Oracle SQL), Microsoft Excel, Python (pandas, numpy), R, Power BI, Tableau, and SAS. Work follows a standard office schedule of 37.5 to 40 hours per week, Monday through Friday (09:00 to 17:00 or 18:00). There are no night shifts or on-call duties, though hours peak during quarter-end and year-end statutory financial reporting cycles.
Where does this lead?
Next step up
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