Salaries: Data / Analytics

Based on listings with published ranges: avg ~€3,809 (range €2,358–€6,876). See cities, technologies, and active roles.

Active jobs
28
With salary
9
Coverage
32%
Range
€2,358–€6,876
Avg ~€3,809

Recent jobs (with or without salary)

Use these to understand typical stacks and requirements.

Recent
Posted Friday
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BI Project Manager

Undisclosed
Coface
București, București, Romania
Office
Full-time
Recent
Posted Thursday
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Senior Data Engineer

Undisclosed
Showpad
Bucharest
Office
Full-time
Recent
Posted Thursday
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Data Engineer Technical Lead

Undisclosed
Qualysoft
Bucharest
Office
pages.jobs.job_card.employment_types.Full_time
Recent
Posted Tuesday
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Senior Data Engineer (Banking)

Undisclosed
Qualysoft
Bucharest
Office
pages.jobs.job_card.employment_types.Full_time
Recent
Posted Tuesday
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Senior Data Engineer with Java or Scala

Undisclosed
ACCESA
Employees can work remotely, , Romania
Remote
Full-time
Recent
Posted Monday
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Senior Product Data Analyst

Undisclosed
Superbet
Office
Full-time
Posted 2 Jan
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Senior Data Engineer

Undisclosed
BearingPoint Romania
Bucharest
Office
Full-time
Posted 2 Jan
View Details

Data Engineer

Undisclosed
RebelDot
Cluj-Napoca
Office
Full-time
Posted 2 Jan
View Details

Power BI Developer

Undisclosed
Everience
Timișoara, TM, Romania
Office
Full-time
Posted 2 Jan
View Details

Senior Data Analyst

Undisclosed
Generix Group
Cluj-Napoca, CJ, Romania
Office
Full-time

How to read these numbers

This page uses only listings that publish a salary range (min–max). The “average” is estimated as the midpoint (min+max)/2, aggregated across salary listings.

Use the range as an anchor for negotiation, then open recent listings to understand seniority, stack, and typical responsibilities.

How to use these insights

  • Use the distribution to understand typical salary bands (not just averages).
  • Compare experience levels and technologies to calibrate negotiations and career moves.
  • Use the tools to estimate take-home pay (CIM) or contractor outcomes (PFA/SRL).

Important caveats

  • Charts use job listings with explicit salary ranges; not all jobs disclose pay.
  • Averages may use midpoints of ranges for aggregation.
  • Location, remote policy, and seniority labels come from listings and can vary by company.

Methodology (short)

Data sources
We aggregate and analyze salary ranges from IT job listings published on IT Jobs List. Some listings include salary bands explicitly; others may not.
  • Active job listings on IT Jobs List
  • Salary ranges provided by employers (when present)
  • Job metadata (role, seniority, location, tech stack) used to group and compare results
Normalization and assumptions
To keep comparisons useful, we normalize the way we interpret listing data across companies.
  • Salary figures are displayed in EUR where possible; listings may use different currencies and compensation structures.
  • When a listing provides a range, we may use the midpoint for aggregate charts.
  • Remote/hybrid/office and employment type are taken from the listing and may differ across teams within the same company.
Limitations
These insights reflect the market as described by listings, not private compensation data.
  • Not all jobs publish salary ranges, so some segments may be under-represented.
  • Job titles vary between companies; we group them, but edge cases exist.
  • Outliers can appear; trends are more reliable than any single datapoint.