Data Analyst Salary in Sweden

Data Analyst Salary Table

Salary by Experience

Tax & Cost of Living

Demand Outlook

How Much Does a Data Analyst Earn in Sweden?

Expect a spread rather than a single number: the 25th percentile sits at SEK 641,000, the median at SEK 763,000, and the 75th percentile at SEK 923,000. Employers at the top of the range are typically larger firms and specialized practices. Remote work is a real factor here — with 75% of these roles workable from anywhere, some Sweden-based professionals earn from foreign employers at rates well above the local median.

Global Pay Rankings for Data Analysts

Converted to US dollars, the median data analyst salary in Sweden is $78,732 — 96% of what the same role pays in the United States ($82,000). The highest-paying countries we track for this role are Singapore ($136,167), Ireland ($124,521), Qatar ($118,956). Keep in mind that higher-paying markets usually pair with higher living costs, so net purchasing power gaps are smaller than the headline numbers.

Salary Growth by Experience

Experience pays in this field: entry-level roles average SEK 519,000, mid-career professionals earn a median of SEK 763,000, and senior specialists reach SEK 1,050,000+. That is a 2.0x span from first job to senior level. In Sweden, the biggest single jumps typically come from switching employers rather than internal raises — a pattern consistent across most markets we track.

Demand for Data Analysts in Sweden

Demand for data analysts in Sweden is very high, scoring 84/100 on our demand index. About 75% of positions in this field can be performed remotely or in hybrid arrangements, which widens the effective job market for candidates in Sweden beyond national borders. For job seekers this tilts negotiating leverage toward candidates: multiple offers are realistic, and counter-offers are common.

Inflation and Real Earnings

Inflation in Sweden is a modest 0.7%, so nominal salary figures translate fairly directly into stable purchasing power. Raises above 0.7% represent genuine real-terms gains.

Qualifications That Move the Needle

Most employers expect bachelor's degree in statistics, economics, or related. Day to day, the skills that consistently correlate with higher pay in this field are sql, excel, dashboarding — and, at senior levels, statistics and business acumen. Candidates who can demonstrate these with concrete work examples routinely land in the upper half of the salary range.

Where This Role Can Lead

Data Analysts commonly pivot into roles like Data Scientist, Business Analyst, Data Engineer, either to specialize or to chase stronger demand. If pay growth in your current track stalls, comparing medians across these adjacent roles is a good first step.