Analytics Engineer Data

666.214 kr (SEK)/yr

320,30 kr (SEK)/hr

19.054 kr (SEK)/yr

The average analytics engineer data gross salary in Malmo, Sweden is 666.214 kr or an equivalent hourly rate of 320 kr. This is 4% higher (+25.622 kr) than the average analytics engineer data salary in Sweden. In addition, they earn an average bonus of 19.054 kr. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Malmo, Sweden. An entry level analytics engineer data (1-3 years of experience) earns an average salary of 472.121 kr. On the other end, a senior level analytics engineer data (8+ years of experience) earns an average salary of 752.063 kr.

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Salary Potential

744.486 kr (SEK)

12 %

Based on our compensation data, the estimated salary potential for Analytics Engineer Data will increase 12 % over 5 years.

Education

This chart displays the highest level of education for:
Analytics Engineer Data, the majority at 100% with bachelors.

Typical Field of Study: Data Modeling/Warehousing and Database Administration

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City Overview

Malmo, Sweden

The cost of living in Malmo, Sweden is 5% more than the average cost of living in Sweden. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

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Malmö is the third-largest city in Sweden, after Stockholm and Gothenburg, and the seventh-largest city in the Nordic region. Located on the Öresund strait on the southwestern coast of Sweden, it is the largest city in Scania, with a municipal population of 365,644 in 2024, and is the gubernatorial seat of Skåne County. Malmö received its city privileges in 1353, and today Malmö's metropolitan region is home to over 700,000 people. Malmö is the site of Sweden's only fixed direct link to contine

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Disclaimer
This page is an excerpt of the much more complete compensation information available in ERI's Assessor Series.

ERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.

Job Description
Develops the data extraction and preparation processes. Runs data quality audits and identifies issues with data collection. Implements improvements and fixes to data collection processes. Oversees SQL databases that can be large and complex.
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