---
esco_uri: http://data.europa.eu/esco/skill/98a1dec3-8138-4f46-a596-5e2a83b884b9
esco_label: "business analytics"
relation: optional
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
---

# business analytics — Data Scientist

For a Data Scientist, 'Business Analytics' isn’t just *doing* data analysis; it's framing that analysis around concrete business objectives. Daily work involves translating vague requests like “improve customer retention” into measurable KPIs (e.g., reduce churn rate by X%), identifying relevant data sources to address those KPIs, and then applying statistical modeling/machine learning – but always with the 'so what?' firmly in mind. It's about building models that *drive action*, not just demonstrate technical skill. Typical tasks include A/B test analysis, cohort analysis for customer behavior, forecasting sales or demand, and creating dashboards to monitor key business metrics.

## Weitere Anreicherung

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