Senior Data Analyst (198614)

Senior Data Analyst

Amsterdam, Netherlands - hybrid

€70,000 to €100,000

This is an opportunity to step into a highly technical analytics role where you can shape how data is used within a commercially driven environment. You will move beyond surface level reporting and play a key role in building deeper analytical capability, working closely with both business and technical stakeholders.

The Company

They are a well established digital organisation operating at scale, supporting millions of users across a sophisticated online platform. With a strong focus on data driven decision making, they are investing in modernising their analytics approach and building out technical capability across their teams.

You will join a collaborative analytics function embedded within cross functional teams, where data is central to product, marketing and commercial strategy. The environment is fast paced, delivery focused and offers strong autonomy.

The Role

You will work across business and analytics teams to transform how data is leveraged, combining technical delivery with commercial insight. Responsibilities include:

• Building and analysing datasets from multiple sources including pipelines, data lake and structured tables
• Developing and maintaining analytical workflows using Python, SQL and distributed data tools
• Supporting marketing and commercial analytics through deeper, technically robust analysis
• Ensuring data quality and reliability in an evolving analytics environment
• Contributing to the migration and improvement of data pipelines and internal tools
• Partnering with technical stakeholders to deliver insights that drive measurable business impact
• Working to defined deadlines while maintaining flexibility in delivery

Your Skills and Experience

• Strong Python coding capability for data analysis and manipulation
• Advanced SQL skills with experience working on complex datasets
• Solid foundation in technical data analytics, not limited to reporting
• Experience combining and managing multiple data sources in production environments
• Comfortable working in environments without fully mature analytics pipelines
• Ability to translate analytical outcomes into clear business insights
• Proactive, self directed approach with strong ownership of work

Desirable:

• Experience with PySpark or distributed data processing frameworks
• Exposure to Tableau or Looker for visualisation
• Interest or experience in applying AI within analytics workflows

What They Offer

• High autonomy with the opportunity to shape technical direction
• Exposure to complex, business critical analytics challenges
• A role designed to deepen your technical expertise while maintaining commercial impact
• A collaborative environment with strong growth potential

How to Apply

If you are interested in this Data Analyst role in Amsterdam, apply with your CV to start the conversation.