The analysis shows which technologies, work models, benefits and advertised gross salaries appear often in job ads for Data Analyst.
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 Analysts the evaluation provides concrete guidance for job ad positioning. The market data are based on active and expired job ads published on the platform in the 12‑month period. Common technologies include SQL, Python and Power BI. Visible locations include Berlin, Hamburg and Munich. Working models: Onsite (61.8%), Hybrid (36.8%), Full remote (1.4%). Established companies represent the majority in the evaluation (86.8%).
Prioritize skills commonly listed in ads: SQL, Python, Power BI; distinguish analysis tasks from engineering responsibilities.
Publish advertised gross salary ranges; use the evaluation median as reference.
Specify working model (Onsite, Hybrid, Full remote) and reflect its prevalence from the evaluation.
Use a concise title that signals the focus (e.g., Data Analyst – Reporting/BI or Data Analyst – Python/SQL).
List the technology stack explicitly: SQL, Python, Power BI, Excel or Tableau depending on focus.
State an advertised gross salary range and reference the median for guidance.
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