Insurance Analyst salary in Latvia

The average insurance analyst salary in Latvia in 2026 is EUR 34,300 per year (EUR 2,858 per month, or EUR 660 per week). This figure represents gross annual earnings before income tax and social contributions. Source: CSB Latvia average earnings 2026.

Insurance Analysts in Latvia earn between EUR 22,300 and EUR 49,800 per year in 2026. The spread reflects differences in experience level, employer size, sector (public vs private), and geographic location within the country.

A insurance analyst in Latvia earns approximately EUR 2,858 per month (gross) in 2026, based on an annual average of EUR 34,300. Monthly take-home pay will be lower after income tax and social security deductions, which vary by individual circumstances and applicable tax brackets in Latvia.

Entry-level insurance analysts in Latvia typically earn between EUR 22,300 and EUR 29,200 per year in 2026. Salaries at the junior level are generally 15–35% below the national average, increasing with professional certifications, years of experience, and specialisation.

Yes. Based on available data, Insurance Analyst salaries in Latvia have grown by approximately 24% between 2022 and 2026, reflecting ongoing demand and wage growth trends.

Among Europe countries in our dataset, Luxembourg offers the highest average insurance analyst salary at EUR 74,800 per year in 2026. Latvia ranks 9 in the region with EUR 34,300/yr.

Whether EUR 34,300 per year is a good insurance analyst salary in Latvia depends on cost of living, location, and career stage. This figure represents the 2026 national average — earners above this level are in the upper half of the pay distribution for this occupation. Factors that influence individual compensation include employer type (multinational vs. local), city (capital cities typically pay 10–25% more), qualifications, and years of experience.

Latvia's insurance analyst salary of EUR 34,300/yr is below all other Europe countries tracked for this occupation in 2026. Differences across countries reflect purchasing power, labour market conditions, cost of living, and local demand for this role.