Analytics Engineer atlyginimas Lietuva 2026
Kiek uždirba Analytics Engineer?
40 920 €
/ Metinis
Remiantis 5 darbo skelbimais
Salaries are calculated as the average of salary ranges published in job listings. Data is aggregated monthly by job position.
28 800 € Vidutinis atlyginimas
40 920 € Maksimumas
57 600 €
Atlyginimų duomenys atnaujinti: spalis 2026
Analytics Engineer atlyginimas Lietuva
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Analytics Engineer
Found at: Fantastic LinkedIn - 2 months ago
Vilnius, Vilnius County, Lietuva foxity.io Visą darbo dieną 3 300 € - 5 700 € LaikinasJob Description: ✔️Our main stack is GCP, dbt, Looker — experience with these is a plus. We value the ability to...
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Analytics Engineer
Found at: Fantastic LinkedIn - 2 days ago
, Lietuva Delve Nuotolinis darbas Visą darbo dienąAbout Delve Delve is a Data & AI company for B2B service businesses. We build the intelligence layer real-world...
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Senior Analytics Engineer
Found at: Fantastic ATS - 2 days ago
, Lietuva Numan Visą darbo dienąAbout Numan Founded in 2018, we’ve already grown to be a 300+ team distributed across the globe, united by a singular...
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Atlyginimai Lietuva {year}
| Position | Vidutinis atlyginimas / Metinis | |
|---|---|---|
| CHIEF ENGINEERING AND TECHNOLOGY OFFICER (F/M/D) | 16 720 € | Žiūrėti skelbimus |
| Freelance Photographer | 10 400 € | Žiūrėti skelbimus |
| HEAD OF GROUP RISK (F/M/D) | 98 280 € | Žiūrėti skelbimus |
| Finansų departamento vadovė (-as) | 96 000 € | Žiūrėti skelbimus |
| Senior Data Engineer II, Trust & Safety | 90 000 € | Žiūrėti skelbimus |
| Head of Engineering | 88 400 € | Žiūrėti skelbimus |
| Senior Backend Engineer - Functions | 84 000 € | Žiūrėti skelbimus |
| Senior Software Engineer | 83 833 € | Žiūrėti skelbimus |
| Senior DevOps Engineer - Wix Data | 81 000 € | Žiūrėti skelbimus |
| Chief People Officer | 79 982 € | Žiūrėti skelbimus |
FAQ - Analytics Engineer
Duomenys atnaujinti: spalis 2026
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Methodology
Salary data is calculated from compensation ranges published in active job listings in Lietuva. Job postings that include salary information are analyzed to obtain minimum, average and maximum values by position. Data is updated monthly and reflects listings from the last 90 days. Sample size for this position: 5 job postings with salary.