---
esco_uri: http://data.europa.eu/esco/skill/b0a3bb25-a02f-43ed-ab1f-994fa66a424a
esco_label: "online analytical processing"
relation: essential
onet_soc: 15-2051.00
source: model-knowledge
confidence: high
qa_count: 0
generator: gemma3:27b (prompt-designed and spot-checked by Claude)
generated: 2026-07-10
---

# online analytical processing — Data Scientist

As a Data Scientist, 'Online Analytical Processing' (OLAP) isn’t about *building* the data warehouse – it’s about rapidly *exploring* what’s already in one to answer business questions. Think beyond simple SQL queries. You'll frequently be tasked with slicing and dicing large datasets (sales by region/product/time, user behavior segments, marketing campaign performance) not for static reports, but for interactive dashboards or ad-hoc investigations. This means quickly pivoting data views, drilling down into details, and comparing different dimensions – all without crippling the system. It's about turning raw data into actionable insights *during* a conversation with stakeholders.

## Weitere Anreicherung

Stage-2 source for future practitioner grounding: arXiv cs.LG/stat.ML (ML preprints).
