The Data Analyst role today
This guide draws on 1,172 Data Analyst postings from 724 companies, published from March to September 2026.
In 3% of Data Analyst postings, building or applying AI is the job itself.
AI Tools Literacy appears in 37% of Data Analyst postings, and Prompt Engineering in 16%.
Automation exposure averages 55 out of 100 across these postings, which is moderate: parts of the routine work can be automated, which makes AI skills more valuable in the role.
Entry-level positions make up 42% of postings, mid-level 27%. The most common way of working is hybrid, in 57% of postings.
Common skill gaps
The AI skills our analysis of Data Analyst job descriptions most often flags as a gap, with the share of postings where each one comes up.
- Prompt Engineering45%
- Generative AI Fundamentals33%
- AI Tools Literacy20%
- AI Ethics Awareness19%
- Machine Learning Fundamentals18%
- AI Analytics Tools12%
Data Analyst salary
Pay comes only from postings that quote it: 97 of the 1,172 Data Analyst postings. Each country uses the pay period its employers quote most.
Netherlands
based on 97 postings quoting pay per month€5,200
median per month
The middle half of advertised salaries, with the line at the median.
Essential Data Analyst skills
The skills employers ask for in Data Analyst job descriptions, from the most requested down.
Core skills
- SQL
- Data Visualization
Often requested
- AI Tools Literacy
- Data Analysis
- Python
- Power BI
- Prompt Engineering
Also valued
- Excel Automation
- Statistical Analysis
- Data Modeling
AI skills to learn next
The AI skills employers most often want to add to this role, beyond the ones above.
- AI Assisted Data Analysis
- Machine Learning Basics
- Machine Learning
- Python for Data Analysis
- AI Assisted Analytics
How the Data Analyst role is evolving
The directions employers are taking this role as they adopt AI, with the skills and responsibilities each one adds.
Most common direction
Toward data & machine learning
Typical focus
AI-augmented analytics and AI-enabled analytics
Skills to add
- MLOps
New responsibilities
- Use AI-assisted tools to verify and compare map data at scale
- Use AI tools to automate data preparation and exploratory analysis
- Leverage AI tools to automate data preparation and exploratory analysis, reducing time to insight
- Collaborate with data scientists to integrate machine learning models into reporting workflows
Other directions
Toward AI transformation
Typical focus
AI enablement
Skills to add
- Change Management
- AI Tool Evaluation
- AI Strategy
- AI Change Management
- AI Adoption Strategy
- Change Management for AI
New responsibilities
- Train team members on AI-assisted data analysis techniques
- Lead the adoption of AI-powered analytics tools across the organization
- Identify opportunities to automate repetitive data verification tasks using AI
- Develop and deliver training on AI-augmented analytics to upskill colleagues
Toward AI marketing
Typical focus
AI insights and AI optimization
Skills to add
- AI Campaign Optimization
- AI Marketing Analytics
- LLM Prompt Engineering
- Predictive Modeling
- AI Campaign Analytics
- AI Marketing Tools
New responsibilities
- Develop and deploy machine learning models to predict ad performance and automate bidding strategies
- Develop and deploy predictive models using automated machine learning platforms
- Integrate AI-driven insights into campaign optimization workflows
- Leverage AI tools to automate campaign performance analysis and generate insights
Toward AI product
Typical focus
AI product insights, AI insights and AI product analytics
Skills to add
- AI Product Management
- AI Product Analytics
- AI Ethics
- AI Product Metrics
- AI Product Strategy
New responsibilities
- Analyze user interactions with AI-powered features to inform product roadmap
- Design and analyze A/B tests for AI-powered product features
- Design and evaluate A/B tests for AI-driven product changes
- Translate AI model outputs into actionable product insights for stakeholders
Data Analyst FAQ
Will AI replace Data Analyst jobs?
Automation exposure averages 55 out of 100 across these postings, which is moderate: parts of the routine work can be automated, which makes AI skills more valuable in the role. Employers are mostly reshaping the role toward data & machine learning, adding skills such as Prompt Engineering and AI Assisted Data Analysis.
What skills do Data Analyst roles require?
The skills employers ask for most are SQL, Data Visualization, AI Tools Literacy, Data Analysis and Python.
Which AI skills should Data Analyst candidates learn next?
Prompt Engineering, AI Tools Literacy and AI Assisted Data Analysis are the AI skills employers most often want to add. The most common skill gaps are Prompt Engineering and Generative AI Fundamentals.
How is the Data Analyst role changing?
The most common direction is data & machine learning. Other directions include AI transformation, AI marketing and AI product.
How much do Data Analyst roles pay in the Netherlands?
Advertised salaries typically range from €4,300 to €6,000 per month, with the median around €5,200, based on 97 postings that quote pay per month.
Find your next Data Analyst role
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This guide is built from public job descriptions for Data Analyst roles classified as Core AI or AI-enabled. Skills, automation exposure and career directions are extracted from each job description and compared across the market. Postings are deduplicated, so a job listed on several boards or by several agencies counts once. Salaries are advertised ranges from the Netherlands, taken only from the 97 postings that quote pay. How we collect and deduplicate postings.