The analysis shows which technologies, work models, benefits and advertised gross salaries appear often in job ads for Data Analyst in Berlin.
Arrows indicate whether each category share increased or decreased from the previous period.
Advertised gross annual salary ranges from matching IT job ads.
Salary figures refer to gross salary ranges advertised in job ads, not measured employee compensation.
Median advertised gross annual salary for the industries with the highest job ad presence.
For Data Analyst in Berlin the market data are based on active and expired job ads published on the platform during the 12‑month period. Prominent technologies include SQL (14.1 %) and Python (12.5 %); BI tools such as Power BI and Tableau also appear. Onsite roles account for 62.6 % in the evaluation, Hybrid for 34.8 %. Leading sectors in the ads are Internet/IT/Telecom and Retail. Frequently listed benefits include flexible working hours, home office, team events and relocation packages.
Specify core technology requirements (e.g. SQL, Python, Power BI).
State posted gross salary ranges; the median (sample size 14) and interquartile range 58,000 EUR–75,000 EUR for orientation.
Make working model explicit: Onsite (62.6 %) and Hybrid (34.8 %) are common in Berlin.
Craft a concise title: e.g. 'Data Analyst (SQL, Python) — Berlin — Onsite/Hybrid'.
Include a posted gross salary range.
Highlight core technologies (SQL, Python, Power BI, Tableau, BigQuery).
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