VP Data & Analytics: skills & capabilities the market requires
Based on 1,659 real VP Data & Analytics job postings, here is what companies actually require for this role today: the capabilities that define it, the hard skills named most often, the scope expected, typical experience and pay. The market leans hardest on Technical Depth (55%) and Data & Analytics (51%).
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Core capabilities for a VP Data & Analytics
- Technical Depth — required in 55% of postings
- Data & Analytics — required in 51% of postings
- Executive Communication — required in 45% of postings
- Strategic Leadership — required in 43% of postings
- Risk, Security & Compliance — required in 34% of postings
- Cross-functional Leadership — required in 33% of postings
- Go-to-Market & Sales — required in 25% of postings
Most-required hard skills
- Sql
- Data Engineering
- Data Governance
- Python
- Data Analysis
- Data Modeling
- Data Architecture
Leadership & soft skills
- Communication
- Problem-Solving
- Leadership
- Cross-Functional Collaboration
Scope, experience & pay
VP Data & Analytics roles expect deal / M&A experience in 1% of postings, IPO or capital markets in 1%, and transformation in 18%. Typical stated experience: 8 years. Pay signal from postings (base): $201K–$235K.
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